41 results on '"Ranjan, Rajnish"'
Search Results
2. IoT and Machine Learning-Based Covid-19 Healthcare Monitoring System Using Face Recognition
- Author
-
Vaswani, Chahat, Chimaniya, Shalini, Ranjan, Rajnish K., Bhawsar, Yachana, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Khare, Nilay, editor, Tomar, Deepak Singh, editor, Ahirwal, Mitul Kumar, editor, Semwal, Vijay Bhaskar, editor, and Soni, Vaibhav, editor
- Published
- 2022
- Full Text
- View/download PDF
3. Thalamic control of sensory processing and spindles in a biophysical somatosensory thalamoreticular circuit model of wakefulness and sleep
- Author
-
Iavarone, Elisabetta, Simko, Jane, Shi, Ying, Bertschy, Marine, García-Amado, María, Litvak, Polina, Kaufmann, Anna-Kristin, O’Reilly, Christian, Amsalem, Oren, Abdellah, Marwan, Chevtchenko, Grigori, Coste, Benoît, Courcol, Jean-Denis, Ecker, András, Favreau, Cyrille, Fleury, Adrien Christian, Van Geit, Werner, Gevaert, Michael, Guerrero, Nadir Román, Herttuainen, Joni, Ivaska, Genrich, Kerrien, Samuel, King, James G., Kumbhar, Pramod, Lurie, Patrycja, Magkanaris, Ioannis, Muddapu, Vignayanandam Ravindernath, Nair, Jayakrishnan, Pereira, Fernando L., Perin, Rodrigo, Petitjean, Fabien, Ranjan, Rajnish, Reimann, Michael, Soltuzu, Liviu, Sy, Mohameth François, Tuncel, M. Anıl, Ulbrich, Alexander, Wolf, Matthias, Clascá, Francisco, Markram, Henry, and Hill, Sean L.
- Published
- 2023
- Full Text
- View/download PDF
4. Link Prediction Computational Models: A Comparative Study
- Author
-
Bhawsar, Yachana, Ranjan, Rajnish K., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal, editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Bhargava, Vijay K., editor
- Published
- 2021
- Full Text
- View/download PDF
5. Video Summary Based on Visual and Mid-level Semantic Features
- Author
-
Ranjan, Rajnish K., Bhawsar, Yachana, Aman, Amrita, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tomar, Ranjeet Singh, editor, Verma, Shekhar, editor, Chaurasia, Brijesh Kumar, editor, Singh, Vrijendra, editor, Abawajy, Jemal, editor, Akashe, Shyam, editor, Hsiung, Pao-Ann, editor, and Bhargava, Vijay K., editor
- Published
- 2021
- Full Text
- View/download PDF
6. On The Effective Capacity Performance Analysis Over Nakagami‐m Distribution‐Based Double‐Shadowed Rician Fading Channel
- Author
-
Ranjan, Rajnish K., primary, Chowdhury, Atanu, additional, and Ghoshal, Dibyendu, additional
- Published
- 2024
- Full Text
- View/download PDF
7. Experimental Analysis of Surface Roughness of Steel by Considering Variable Cutting Parameters for Turning
- Author
-
Bharti, Rajkumar, primary, Banerjee, Ayan, additional, Ranjan, Rajnish Kumar, additional, and Kundu, Manoj, additional
- Published
- 2024
- Full Text
- View/download PDF
8. On Performance Analysis of Wireless Network over Double Shadowed Rician Fading Channel.
- Author
-
Kumar Ranjan, Rajnish, Chowdhury, Atanu, and Ghoshal, Dibyendu
- Subjects
- *
RICIAN channels , *RADIO transmitter fading , *WIRELESS channels , *ERROR rates , *RANDOM variables - Abstract
In the wireless network, many physical conditions may arise where received signal power is shadowed by moving objects along the propagation paths, and further shadowing of the received signal may result from moving objects around the transmitters or receivers. This phenomenon is mathematically modelled in terms of the double (or dual) shadowing process brought about by fading channels where both dominant and scattered wave components fluctuate together. In this present study, the outcome aspects of dual-shadowed wireless fading channels are explored in accordance with outage analysis, channel capacity, and average bit error rate (ABER) for coherent as well as non-coherent modulation schemes. Here, the Rician envelope, which undergoes two shadowing effects, is assumed. The channel format described here is such that both dominant and scattered signals are impacted by the Nakagami m random variable (RV). As a model, the mathematical expressions are derived for channel capacity, outage analysis, and ABER for dual-shadowed Rician fading channels. The effects of different shadowing parameters are explored, and corresponding results are plotted. All the evaluative results are recognised by emulating the simulation results for various values of the fading parameters. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
9. Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
- Author
-
Isbister, James B., primary, Ecker, András, additional, Pokorny, Christoph, additional, Bolaños-Puchet, Sirio, additional, Santander, Daniela Egas, additional, Arnaudon, Alexis, additional, Awile, Omar, additional, Natali, Barros-Zulaica, additional, Alonso, Jorge Blanco, additional, Boci, Elvis, additional, Chindemi, Giuseppe, additional, Courcol, Jean-Denis, additional, Damart, Tanguy, additional, Delemontex, Thomas, additional, Dietz, Alexander, additional, Ficarelli, Gianluca, additional, Gevaert, Mike, additional, Herttuainen, Joni, additional, Ivaska, Genrich, additional, Ji, Weina, additional, Keller, Daniel, additional, King, James, additional, Kumbhar, Pramod, additional, Lapere, Samuel, additional, Litvak, Polina, additional, Mandge, Darshan, additional, Muller, Eilif B., additional, Pereira, Fernando, additional, Planas, Judit, additional, Ranjan, Rajnish, additional, Reva, Maria, additional, Romani, Armando, additional, Rössert, Christian, additional, Schürmann, Felix, additional, Sood, Vishal, additional, Teska, Aleksandra, additional, Tuncel, Anil, additional, Van Geit, Werner, additional, Wolf, Matthias, additional, Markram, Henry, additional, Ramaswamy, Srikanth, additional, and Reimann, Michael W., additional
- Published
- 2023
- Full Text
- View/download PDF
10. Video Summary Based on F-Sift, Tamura Textural and Middle Level Semantic Feature
- Author
-
Ranjan, Rajnish K. and Agrawal, Anupam
- Published
- 2016
- Full Text
- View/download PDF
11. On Performance Analysis of Wireless Network over Double Shadowed Rician Fading Channel
- Author
-
Kumar Ranjan, Rajnish, primary, Chowdhury, Atanu, additional, and Ghoshal, Dibyendu, additional
- Published
- 2023
- Full Text
- View/download PDF
12. Reconstruction and Simulation of Neocortical Microcircuitry
- Author
-
Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Published
- 2015
- Full Text
- View/download PDF
13. Understanding the Cyclicity of Chemical Weathering and Associated CO2 Consumption in the Brahmaputra River Basin (India): The Role of Major Rivers in Climate Change Mitigation Perspective
- Author
-
Das, Pallavi, Sarma, Kali Prasad, Jha, Pawan Kumar, Ranjan, Rajnish, Herbert, Roger, and Kumar, Manish
- Published
- 2016
- Full Text
- View/download PDF
14. Thalamic control of sensory enhancement and sleep spindle properties in a biophysical model of thalamoreticular microcircuitry
- Author
-
Iavarone, Elisabetta, primary, Simko, Jane, additional, Shi, Ying, additional, Bertschy, Marine, additional, García-Amado, María, additional, Litvak, Polina, additional, Kaufmann, Anna-Kristin, additional, O’Reilly, Christian, additional, Amsalem, Oren, additional, Abdellah, Marwan, additional, Chevtchenko, Grigori, additional, Coste, Benoît, additional, Courcol, Jean-Denis, additional, Ecker, András, additional, Favreau, Cyrille, additional, Fleury, Adrien Christian, additional, Geit, Werner Van, additional, Gevaert, Michael, additional, Guerrero, Nadir Román, additional, Herttuainen, Joni, additional, Ivaska, Genrich, additional, Kerrien, Samuel, additional, King, James G., additional, Kumbhar, Pramod, additional, Lurie, Patrycja, additional, Magkanaris, Ioannis, additional, Muddapu, Vignayanandam Ravindernath, additional, Nair, Jayakrishnan, additional, Pereira, Fernando L., additional, Perin, Rodrigo, additional, Petitjean, Fabien, additional, Ranjan, Rajnish, additional, Reimann, Michael, additional, Soltuzu, Liviu, additional, Sy, Mohameth François, additional, Tuncel, M. Anıl, additional, Ulbrich, Alexander, additional, Wolf, Matthias, additional, Clascá, Francisco, additional, Markram, Henry, additional, and Hill, Sean L., additional
- Published
- 2022
- Full Text
- View/download PDF
15. Variation in Aerosol Optical Depth (AOD), NO2 and Tropospheric Ozone Column during the Lockdown Period Amid COVID-19 Pandemic over India
- Author
-
Bhadauria, Neha, primary, Chauhan, Abhishek, additional, Ranjan, Rajnish, additional, and Jindal, Tanu, additional
- Published
- 2022
- Full Text
- View/download PDF
16. An assessment of seasonal, monthly and diurnal variations of ambient air quality in the Gurugram city (Haryana).
- Author
-
Bhadauria, Neha, Chauhan, Abhishek, Ranjan, Rajnish, and Jindal, Tanu
- Subjects
AIR pollutants ,AIR quality ,AIR pollution control ,EMISSIONS (Air pollution) ,PARTICULATE matter ,AIR pollution - Abstract
Gurugram is emerging as one of India's most advanced cities. The combined impact of industrial and vehicular emissions makes the environment toxic. Recently, Gurugram has experienced severe air quality. In the present work, an assessment of seasonal, monthly, and diurnal variations of ambient air quality was carried out in Gurugram during the period of March 2021 to 2022 February. Seasonal and monthly concentrations of key air pollutants like particulate matter (PM
2.5 ), nitrogen dioxide (NO2 ), carbon monoxide (CO) and ozone (O3 ) were examined at Vikas sadan, Gwal Pahari and Teri Gram in Gurugram city to study the most polluted seasons and months. Significantly higher mean concentrations of Particulate matter PM2.5 (406.94 μgm-3 ) and NO2 (353.96ppb) were seen during the colder months and seasons. O3 showed a consistent trend with variations during the year, with the highest concentration in winter (106.35µg/m³). PM2.5 and NO2 concentrations during the night were greater for all seasons when compared to diurnal values. O3 concentrations displayed diurnal tendencies that were the opposite of those of NO2 concentrations. The highest concentrations of ambient PM2.5 , NO2 , and CO were observed at the Vikas Sadan Monitoring Station. While the NISE Gwal Pahari station showed greater O3 values. The findings highlight the necessity of efficient air pollution control in Gurugram. To prevent public exposure to air pollutants, preventive measures like green spaces, using public transport, etc. must be adopted. The study contributes to a better understanding of air pollution by seasonal, monthly and diurnal assessment in the city of Gurugram. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
17. Channelome: A comprehensive resource for voltage-gated ion channel kinetics
- Author
-
Ranjan, Rajnish, Logette, Emmanuelle, Dorp, Stijn V., Kalaimaken, Hervé A., Herzog, Mirjia, Joffraud, Magali S.E., Scantamburlo, Enrico, Johnston, Katherine G., Journe, Adrien, and Markram, Henry
- Published
- 2024
- Full Text
- View/download PDF
18. Predicting neuronal activity with an adaptive exponential integrate-and-fire model
- Author
-
Marcille Nicolas, Clopath Claudia, Ranjan Rajnish, Druckmann Shaul, Schuermann Felix, Markram Henry, and Gerstner Wulfram
- Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurophysiology and neuropsychology ,QP351-495 - Published
- 2007
- Full Text
- View/download PDF
19. The Blue Brain Project: calibrating the neocortical column
- Author
-
Hill Sean, Ranjan Rajnish, Ramaswamy Srikanth, Druckman Shaul, Gidon Albert, Bao Jie, Riachi Imad, Schürmann Felix, and Markram Henry
- Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurophysiology and neuropsychology ,QP351-495 - Published
- 2007
- Full Text
- View/download PDF
20. Performance Analysis of Digital Communications over Rician-TWDP Channels
- Author
-
Ranjan, Rajnish Kumar, primary, Kansal, Veenu, additional, and Singh, Simranjit, additional
- Published
- 2020
- Full Text
- View/download PDF
21. A Kinetic Map of the Homomeric Voltage-gated Potassium Channel (Kv) Family
- Author
-
Ranjan, Rajnish, primary, Logette, Emmanuelle, additional, Marani, Michela, additional, Herzog, Mirjia, additional, Tache, Valerie, additional, Scantamburlo, Enrico, additional, Buchillier, Valérie, additional, and Markram, Henry, additional
- Published
- 2020
- Full Text
- View/download PDF
22. A Kinetic Map of the Homomeric Voltage-Gated Potassium Channel (Kv) Family
- Author
-
Ranjan, Rajnish, primary, Logette, Emmanuelle, additional, Marani, Michela, additional, Herzog, Mirjia, additional, Tâche, Valérie, additional, Scantamburlo, Enrico, additional, Buchillier, Valérie, additional, and Markram, Henry, additional
- Published
- 2019
- Full Text
- View/download PDF
23. On The Effective Capacity Performance Analysis Over Nakagami‐mDistribution‐Based Double‐Shadowed Rician Fading Channel
- Author
-
Ranjan, Rajnish K., Chowdhury, Atanu, and Ghoshal, Dibyendu
- Abstract
The practical applications within the domain of the fifth generation (5G) and the emerging beyond 5G network necessitate a high data transmission rate along with minimal achievable delay. With this objective in focus, the maximum capacity is extensively quantified through the utilization of the delay‐constrained effective capacity (EC) technique, which stands in contrast to Shannon's ergodic capacity. The current study is engaged in the analysis of EC within a delay‐limited wireless system operating in a double‐shadowed Rician (DSR) fading channel. Within this channel, only the Nakagami‐mdistribution concept has been applied to both the dominant and secondary shadowing components of the proposed network model. A new exact closed‐form expression for EC within the DSR fading channel has been derived using the Fox‐H function. Furthermore, an analysis has been conducted for both high and low signal‐to‐noise ratios to provide further insights and explanations for the proposed model. It is worth noting that the results obtained from both simulation and analytical methods exhibit substantial similarity, revealing interdependence among various parameters present in the proposed model. A closed‐form expression for effective capacity (EC) analysis is derived for a Double Shadowed Rician‐fading channel based on Nakagami‐mdistribution only, utilizing the Fox‐H functionAdditionally, an investigation into the closed‐form EC expression at high signal‐to‐noise ratio (SNR) is undertaken. Furthermore, novel EC formulations are developed for communication systems operating in low‐SNR environmentsFinally, simulation results obtained from mathematical derivations are presented to validate the accuracy of the derived expressions A closed‐form expression for effective capacity (EC) analysis is derived for a Double Shadowed Rician‐fading channel based on Nakagami‐mdistribution only, utilizing the Fox‐H function Additionally, an investigation into the closed‐form EC expression at high signal‐to‐noise ratio (SNR) is undertaken. Furthermore, novel EC formulations are developed for communication systems operating in low‐SNR environments Finally, simulation results obtained from mathematical derivations are presented to validate the accuracy of the derived expressions
- Published
- 2024
- Full Text
- View/download PDF
24. Mapping the function of neuronal ion channels in model and experiment
- Author
-
Podlaski, William F, primary, Seeholzer, Alexander, additional, Groschner, Lukas N, additional, Miesenböck, Gero, additional, Ranjan, Rajnish, additional, and Vogels, Tim P, additional
- Published
- 2017
- Full Text
- View/download PDF
25. Author response: Mapping the function of neuronal ion channels in model and experiment
- Author
-
Podlaski, William F, primary, Seeholzer, Alexander, additional, Groschner, Lukas N, additional, Miesenböck, Gero, additional, Ranjan, Rajnish, additional, and Vogels, Tim P, additional
- Published
- 2017
- Full Text
- View/download PDF
26. Understanding the Cyclicity of Chemical Weatheringand Associated CO2Consumption in the BrahmaputraRiver Basin (India) : The Role of Major Rivers in ClimateChange Mitigation Perspective
- Author
-
Das, Pallavi, Sarma, Kali, Kumar Jha, Pawan, Ranjan, Rajnish, Herbert, Roger, Kumar, Manish, Das, Pallavi, Sarma, Kali, Kumar Jha, Pawan, Ranjan, Rajnish, Herbert, Roger, and Kumar, Manish
- Abstract
Weathering of rocks that regulate the water chemistry of the river has been used to evaluate the CO2 consumption rate which exerts a strong influence on the global climate. The foremost objective of the present research is to estimate the chemical weathering rate (CWR) of the continental water in the entire stretch of Brahmaputra River from upstream to downstream and their associated CO2 consumption rate. To establish the link between the rapid chemical weathering and thereby enhance CO2 drawdown from the atmosphere, the major ion composition of the Brahmaputra River that drains the Himalaya has been obtained. Major ion chemistry of the Brahmaputra River was resolved on samples collected from nine locations in pre-monsoon, monsoon and post-monsoon seasons for two cycles: cycle I (2011-2012) and cycle II (2013-2014). The physico-chemical parameters of water samples were analysed by employing standard methods. The Brahmaputra River was characterized by alkalinity, high concentration of Ca2+ and HCO3 (-) along with significant temporal variation in major ion composition. In general, it was found that water chemistry of the river was mainly controlled by rock weathering with minor contributions from atmospheric and anthropogenic sources. The effective CO2 pressure (log) for pre-monsoon, monsoon and post-monsoon has been estimated. The question of rates of chemical weathering (carbonate and silicate) was addressed by using TDS and run-off (mm year(-1)). It has been found that the extent of CWR is directly dependent on the CO2 consumption rate which may be further evaluated from the perspective of climate change mitigation The average annual CO2 consumption rate of the Brahmaputra River due to silicate and carbonate weathering was found to be 0.52 (x10(6) mol Km(-2) year(-1)) and 0.55 (x10(6) mol Km(-2) year(-1)) for cycle I and 0.49 (x10(6) mol Km(-2) year(-1)) and 0.52 (x10(6) mol Km(-2) year(-1)) for cycle II, respectively, which were significantly higher than that of
- Published
- 2016
- Full Text
- View/download PDF
27. Channelpedia
- Author
-
Khazen, Georges, Ranjan, Rajnish, Gambazzi, Luca, Ramaswamy, Srikanth, Markram, Henry, Hill, Sean L., Schürmann, Felix, Khazen, Georges, Ranjan, Rajnish, Gambazzi, Luca, Ramaswamy, Srikanth, Markram, Henry, Hill, Sean L., and Schürmann, Felix
- Abstract
Ion channels are membrane proteins that selectively conduct ions across the cell membrane. The flux of ions through ion channels drives electrical and biochemical processes in cells and plays a critical role in shaping the electrical properties of neurons. During the past three decades, extensive research has been carried out to characterize the molecular, structural, and biophysical properties of ion channels. This research has begun to elucidate the role of ion channels in neuronal function and has subsequently led to the development of computational models of ion channel function. Although there have been substantial efforts to consolidate these findings into easily accessible and coherent online resources, a single comprehensive resource is still lacking. The success of these initiatives has been hindered by the sheer diversity of approaches and the variety in data formats. Here, we present “Channelpedia” (http://channelpedia.net), which is designed to store information related to ion channels and models and is characterized by an efficient information management framework. Composed of a combination of a database and a wiki-like discussion platform Channelpedia allows researchers to collaborate and synthesize ion channel information from literature. Equipped to automatically update references, Channelpedia integrates and highlights recent publications with relevant information in the database. It is web based, freely accessible and currently contains 187 annotated ion channels with 45 Hodgkin–Huxley models. Keywords: ion channel, kinetics, Hodgkin–Huxley model, datab
- Published
- 2016
28. ICGenealogy: Mapping the Function of Neuronal Ion Channels in Model and Experiment
- Author
-
Podlaski, William F, primary, Seeholzer, Alexander, additional, Groschner, Lukas N, additional, Miesenböck, Gero, additional, Ranjan, Rajnish, additional, and Vogels, Tim P, additional
- Published
- 2016
- Full Text
- View/download PDF
29. Reconstruction and Simulation of Neocortical Microcircuitry
- Author
-
European Commission, Gatsby Charitable Foundation, Ministerio de Economía y Competitividad (España), Hebrew University of Jerusalem, École Polytechnique Fédérale de Lausanne, Swiss National Supercomputing Centre, Swiss National Science Foundation, Office of Naval Research (US), Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Aguado Sánchez, Carlos, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Atenekeng Kahou, Guy Antoine, Berger, Thomas, Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vicent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvárday, Zoltán F., Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R. C., Merchán-Pérez, Ángel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, J. Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Geit, Werner van, Villafranca Díaz, Jafet, Walker, Richard, Wang, Yu, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, Schürmann, Felix, European Commission, Gatsby Charitable Foundation, Ministerio de Economía y Competitividad (España), Hebrew University of Jerusalem, École Polytechnique Fédérale de Lausanne, Swiss National Supercomputing Centre, Swiss National Science Foundation, Office of Naval Research (US), Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Aguado Sánchez, Carlos, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Atenekeng Kahou, Guy Antoine, Berger, Thomas, Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vicent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvárday, Zoltán F., Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R. C., Merchán-Pérez, Ángel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, J. Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Geit, Werner van, Villafranca Díaz, Jafet, Walker, Richard, Wang, Yu, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Abstract
We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
- Published
- 2015
30. Engineering Neuron Models:from Ion Channels to Electrical Behavior
- Author
-
Ranjan, Rajnish
- Abstract
The neocortex is one of the most evolved and complex region of the brain. For more than a century scientists have been curious about the neocortex, to identify the anatomical blueprint of its cellular organization and to understand its role in higher brain functions. The Blue Brain Project aims to study the neocortex of the rat by developing its basic anatomical unit, the cortical column, in a simulation-based, data driven research environment. This requires 10,000 biologically accurate neuron models and a combination of the full spectrum of genetically determined ion channels, to capture the complete electrical diversity in a biologically constrained manner. This dissertation, which was carried out within the scope of the Blue Brain Project, illustrates a framework to build neuron models and its integration for neuron network simulation. Building biophysically accurate neuron models requires realistic ion channel models of around 200 of the different types of ion channels expressed in the neocortex. Although a significant amount of experimental data has been gathered over the past 30 years, consolidation of these findings into an easily accessible online resource is still missing. Moreover, the differences in experimental conditions make it difficult to faithfully create models for these ion channels. Therefore, to consolidate existing ion channel literature, a knowledge base system Channelpedia (www.channelpedia.net) has been developed. Equipped with 187 annotated ion channels with 50 Hodgkin-Huxley(HH) models, Channelpedia provides an ideal discussion platform, for researchers to collaborate and synthesize information from literature. To address the unavailability of experimental data, a high-throughput ion channel screening method was developed. This approach involves ion channel gene transfection in Chinese Hamster Ovarian (CHO) cell lines, automated voltage-clamp experiments, and an automated HH model fitting routine. Finally, to validate the role of ion channels in a model neuron, I perform a series of in-vitro and in-silico dynamic clamp experiments on layer 2/3 pyramidal neurons.
- Published
- 2011
- Full Text
- View/download PDF
31. The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex
- Author
-
Ramaswamy, Srikanth, primary, Courcol, Jean-Denis, additional, Abdellah, Marwan, additional, Adaszewski, Stanislaw R., additional, Antille, Nicolas, additional, Arsever, Selim, additional, Atenekeng, Guy, additional, Bilgili, Ahmet, additional, Brukau, Yury, additional, Chalimourda, Athanassia, additional, Chindemi, Giuseppe, additional, Delalondre, Fabien, additional, Dumusc, Raphael, additional, Eilemann, Stefan, additional, Gevaert, Michael Emiel, additional, Gleeson, Padraig, additional, Graham, Joe W., additional, Hernando, Juan B., additional, Kanari, Lida, additional, Katkov, Yury, additional, Keller, Daniel, additional, King, James G., additional, Ranjan, Rajnish, additional, Reimann, Michael W., additional, Rössert, Christian, additional, Shi, Ying, additional, Shillcock, Julian C., additional, Telefont, Martin, additional, Van Geit, Werner, additional, Villafranca Diaz, Jafet, additional, Walker, Richard, additional, Wang, Yun, additional, Zaninetta, Stefano M., additional, DeFelipe, Javier, additional, Hill, Sean L., additional, Muller, Jeffrey, additional, Segev, Idan, additional, Schürmann, Felix, additional, Muller, Eilif B., additional, and Markram, Henry, additional
- Published
- 2015
- Full Text
- View/download PDF
32. Channelpedia: An Integrative and Interactive Database for Ion Channels
- Author
-
Ranjan, Rajnish, primary, Khazen, Georges, additional, Gambazzi, Luca, additional, Ramaswamy, Srikanth, additional, Hill, Sean L., additional, Schürmann, Felix, additional, and Markram, Henry, additional
- Published
- 2011
- Full Text
- View/download PDF
33. 25th Annual Computational Neuroscience Meeting: CNS-2016
- Author
-
Sharpee, Tatyana O., Destexhe, Alain, Kawato, Mitsuo, Sekulić, Vladislav, Skinner, Frances K., Wójcik, Daniel K., Chintaluri, Chaitanya, Cserpán, Dorottya, Somogyvári, Zoltán, Kim, Jae Kyoung, Kilpatrick, Zachary P., Bennett, Matthew R., Josić, Kresimir, Elices, Irene, Arroyo, David, Levi, Rafael, Rodriguez, Francisco B., Varona, Pablo, Hwang, Eunjin, Kim, Bowon, Han, Hio-Been, Kim, Tae, McKenna, James T., Brown, Ritchie E., McCarley, Robert W., Choi, Jee Hyun, Rankin, James, Popp, Pamela Osborn, Rinzel, John, Tabas, Alejandro, Rupp, André, Balaguer-Ballester, Emili, Maturana, Matias I., Grayden, David B., Cloherty, Shaun L., Kameneva, Tatiana, Ibbotson, Michael R., Meffin, Hamish, Koren, Veronika, Lochmann, Timm, Dragoi, Valentin, Obermayer, Klaus, Psarrou, Maria, Schilstra, Maria, Davey, Neil, Torben-Nielsen, Benjamin, Steuber, Volker, Ju, Huiwen, Yu, Jiao, Hines, Michael L., Chen, Liang, Yu, Yuguo, Kim, Jimin, Leahy, Will, Shlizerman, Eli, Birgiolas, Justas, Gerkin, Richard C., Crook, Sharon M., Viriyopase, Atthaphon, Memmesheimer, Raoul-Martin, Gielen, Stan, Dabaghian, Yuri, DeVito, Justin, Perotti, Luca, Kim, Anmo J., Fenk, Lisa M., Cheng, Cheng, Maimon, Gaby, Zhao, Chang, Widmer, Yves, Sprecher, Simon, Senn, Walter, Halnes, Geir, Mäki-Marttunen, Tuomo, Keller, Daniel, Pettersen, Klas H., Andreassen, Ole A., Einevoll, Gaute T., Yamada, Yasunori, Steyn-Ross, Moira L., Alistair Steyn-Ross, D., Mejias, Jorge F., Murray, John D., Kennedy, Henry, Wang, Xiao-Jing, Kruscha, Alexandra, Grewe, Jan, Benda, Jan, Lindner, Benjamin, Badel, Laurent, Ohta, Kazumi, Tsuchimoto, Yoshiko, Kazama, Hokto, Kahng, B., Tam, Nicoladie D., Pollonini, Luca, Zouridakis, George, Soh, Jaehyun, Kim, DaeEun, Yoo, Minsu, Palmer, S. E., Culmone, Viviana, Bojak, Ingo, Ferrario, Andrea, Merrison-Hort, Robert, Borisyuk, Roman, Kim, Chang Sub, Tezuka, Taro, Joo, Pangyu, Rho, Young-Ah, Burton, Shawn D., Bard Ermentrout, G., Jeong, Jaeseung, Urban, Nathaniel N., Marsalek, Petr, Kim, Hoon-Hee, Moon, Seok-hyun, Lee, Do-won, Lee, Sung-beom, Lee, Ji-yong, Molkov, Yaroslav I., Hamade, Khaldoun, Teka, Wondimu, Barnett, William H., Kim, Taegyo, Markin, Sergey, Rybak, Ilya A., Forro, Csaba, Dermutz, Harald, Demkó, László, Vörös, János, Babichev, Andrey, Huang, Haiping, Verduzco-Flores, Sergio, Dos Santos, Filipa, Andras, Peter, Metzner, Christoph, Schweikard, Achim, Zurowski, Bartosz, Roach, James P., Sander, Leonard M., Zochowski, Michal R., Skilling, Quinton M., Ognjanovski, Nicolette, Aton, Sara J., Zochowski, Michal, Wang, Sheng-Jun, Ouyang, Guang, Guang, Jing, Zhang, Mingsha, Michael Wong, K. Y., Zhou, Changsong, Robinson, Peter A., Sanz-Leon, Paula, Drysdale, Peter M., Fung, Felix, Abeysuriya, Romesh G., Rennie, Chris J., Zhao, Xuelong, Choe, Yoonsuck, Yang, Huei-Fang, Mi, Yuanyuan, Lin, Xiaohan, Wu, Si, Liedtke, Joscha, Schottdorf, Manuel, Wolf, Fred, Yamamura, Yoriko, Wickens, Jeffery R., Rumbell, Timothy, Ramsey, Julia, Reyes, Amy, Draguljić, Danel, Hof, Patrick R., Luebke, Jennifer, Weaver, Christina M., He, Hu, Yang, Xu, Ma, Hailin, Xu, Zhiheng, Wang, Yuzhe, Baek, Kwangyeol, Morris, Laurel S., Kundu, Prantik, Voon, Valerie, Agnes, Everton J., Vogels, Tim P., Podlaski, William F., Giese, Martin, Kuravi, Pradeep, Vogels, Rufin, Seeholzer, Alexander, Podlaski, William, Ranjan, Rajnish, Vogels, Tim, Torres, Joaquin J., Baroni, Fabiano, Latorre, Roberto, Gips, Bart, Lowet, Eric, Roberts, Mark J., de Weerd, Peter, Jensen, Ole, van der Eerden, Jan, Goodarzinick, Abdorreza, Niry, Mohammad D., Valizadeh, Alireza, Pariz, Aref, Parsi, Shervin S., Warburton, Julia M., Marucci, Lucia, Tamagnini, Francesco, Brown, Jon, Tsaneva-Atanasova, Krasimira, Kleberg, Florence I., Triesch, Jochen, Moezzi, Bahar, Iannella, Nicolangelo, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R., Hordacre, Brenton, McDonnell, Mark D., Ridding, Michael C., Zapotocky, Martin, Smit, Daniel, Fouquet, Coralie, Trembleau, Alain, Dasgupta, Sakyasingha, Nishikawa, Isao, Aihara, Kazuyuki, Toyoizumi, Taro, Robb, Daniel T., Mellen, Nick, Toporikova, Natalia, Tang, Rongxiang, Tang, Yi-Yuan, Liang, Guangsheng, Kiser, Seth A., Howard, James H., Goncharenko, Julia, Voronenko, Sergej O., Ahamed, Tosif, Stephens, Greg, Yger, Pierre, Lefebvre, Baptiste, Spampinato, Giulia Lia Beatrice, Esposito, Elric, et Olivier Marre, Marcel Stimberg, Choi, Hansol, Song, Min-Ho, Chung, SueYeon, Lee, Dan D., Sompolinsky, Haim, Phillips, Ryan S., Smith, Jeffrey, Chatzikalymniou, Alexandra Pierri, Ferguson, Katie, Alex Cayco Gajic, N., Clopath, Claudia, Angus Silver, R., Gleeson, Padraig, Marin, Boris, Sadeh, Sadra, Quintana, Adrian, Cantarelli, Matteo, Dura-Bernal, Salvador, Lytton, William W., Davison, Andrew, Li, Luozheng, Zhang, Wenhao, Wang, Dahui, Song, Youngjo, Park, Sol, Choi, Ilhwan, Shin, Hee-sup, Choi, Hannah, Pasupathy, Anitha, Shea-Brown, Eric, Huh, Dongsung, Sejnowski, Terrence J., Vogt, Simon M., Kumar, Arvind, Schmidt, Robert, Van Wert, Stephen, Schiff, Steven J., Veale, Richard, Scheutz, Matthias, Lee, Sang Wan, Gallinaro, Júlia, Rotter, Stefan, Rubchinsky, Leonid L., Cheung, Chung Ching, Ratnadurai-Giridharan, Shivakeshavan, Shomali, Safura Rashid, Ahmadabadi, Majid Nili, Shimazaki, Hideaki, Nader Rasuli, S., Zhao, Xiaochen, Rasch, Malte J., Wilting, Jens, Priesemann, Viola, Levina, Anna, Rudelt, Lucas, Lizier, Joseph T., Spinney, Richard E., Rubinov, Mikail, Wibral, Michael, Bak, Ji Hyun, Pillow, Jonathan, Zaho, Yuan, Park, Il Memming, Kang, Jiyoung, Park, Hae-Jeong, Jang, Jaeson, Paik, Se-Bum, Choi, Woochul, Lee, Changju, Song, Min, Lee, Hyeonsu, Park, Youngjin, Yilmaz, Ergin, Baysal, Veli, Ozer, Mahmut, Saska, Daniel, Nowotny, Thomas, Chan, Ho Ka, Diamond, Alan, Herrmann, Christoph S., Murray, Micah M., Ionta, Silvio, Hutt, Axel, Lefebvre, Jérémie, Weidel, Philipp, Duarte, Renato, Morrison, Abigail, Lee, Jung H., Iyer, Ramakrishnan, Mihalas, Stefan, Koch, Christof, Petrovici, Mihai A., Leng, Luziwei, Breitwieser, Oliver, Stöckel, David, Bytschok, Ilja, Martel, Roman, Bill, Johannes, Schemmel, Johannes, Meier, Karlheinz, Esler, Timothy B., Burkitt, Anthony N., Kerr, Robert R., Tahayori, Bahman, Nolte, Max, Reimann, Michael W., Muller, Eilif, Markram, Henry, Parziale, Antonio, Senatore, Rosa, Marcelli, Angelo, Skiker, K., Maouene, M., Neymotin, Samuel A., Seidenstein, Alexandra, Lakatos, Peter, Sanger, Terence D., Menzies, Rosemary J., McLauchlan, Campbell, van Albada, Sacha J., Kedziora, David J., Neymotin, Samuel, Kerr, Cliff C., Suter, Benjamin A., Shepherd, Gordon M. G., Ryu, Juhyoung, Lee, Sang-Hun, Lee, Joonwon, Lee, Hyang Jung, Lim, Daeseob, Wang, Jisung, Lee, Heonsoo, Jung, Nam, Anh Quang, Le, Maeng, Seung Eun, Lee, Tae Ho, Lee, Jae Woo, Park, Chang-hyun, Ahn, Sora, Moon, Jangsup, Choi, Yun Seo, Kim, Juhee, Jun, Sang Beom, Lee, Seungjun, Lee, Hyang Woon, Jo, Sumin, Jun, Eunji, Yu, Suin, Goetze, Felix, Lai, Pik-Yin, Kim, Seonghyun, Kwag, Jeehyun, Jang, Hyun Jae, Filipović, Marko, Reig, Ramon, Aertsen, Ad, Silberberg, Gilad, Bachmann, Claudia, Buttler, Simone, Jacobs, Heidi, Dillen, Kim, Fink, Gereon R., Kukolja, Juraj, Kepple, Daniel, Giaffar, Hamza, Rinberg, Dima, Shea, Steven, Koulakov, Alex, Bahuguna, Jyotika, Tetzlaff, Tom, Kotaleski, Jeanette Hellgren, Kunze, Tim, Peterson, Andre, Knösche, Thomas, Kim, Minjung, Kim, Hojeong, Park, Ji Sung, Yeon, Ji Won, Kim, Sung-Phil, Kang, Jae-Hwan, Lee, Chungho, Spiegler, Andreas, Petkoski, Spase, Palva, Matias J., Jirsa, Viktor K., Saggio, Maria L., Siep, Silvan F., Stacey, William C., Bernar, Christophe, Choung, Oh-hyeon, Jeong, Yong, Lee, Yong-il, Kim, Su Hyun, Jeong, Mir, Lee, Jeungmin, Kwon, Jaehyung, Kralik, Jerald D., Jahng, Jaehwan, Hwang, Dong-Uk, Kwon, Jae-Hyung, Park, Sang-Min, Kim, Seongkyun, Kim, Hyoungkyu, Kim, Pyeong Soo, Yoon, Sangsup, Lim, Sewoong, Park, Choongseok, Miller, Thomas, Clements, Katie, Ahn, Sungwoo, Ji, Eoon Hye, Issa, Fadi A., Baek, JeongHun, Oba, Shigeyuki, Yoshimoto, Junichiro, Doya, Kenji, Ishii, Shin, Mosqueiro, Thiago S., Strube-Bloss, Martin F., Smith, Brian, Huerta, Ramon, Hadrava, Michal, Hlinka, Jaroslav, Bos, Hannah, Helias, Moritz, Welzig, Charles M., Harper, Zachary J., Kim, Won Sup, Shin, In-Seob, Baek, Hyeon-Man, Han, Seung Kee, Richter, René, Vitay, Julien, Beuth, Frederick, Hamker, Fred H., Toppin, Kelly, Guo, Yixin, Graham, Bruce P., Kale, Penelope J., Gollo, Leonardo L., Stern, Merav, Abbott, L. F., Fedorov, Leonid A., Giese, Martin A., Ardestani, Mohammad Hovaidi, Faraji, Mohammad Javad, Preuschoff, Kerstin, Gerstner, Wulfram, van Gendt, Margriet J., Briaire, Jeroen J., Kalkman, Randy K., Frijns, Johan H. M., Lee, Won Hee, Frangou, Sophia, Fulcher, Ben D., Tran, Patricia H. P., Fornito, Alex, Gliske, Stephen V., Lim, Eugene, Holman, Katherine A., Fink, Christian G., Kim, Jinseop S., Mu, Shang, Briggman, Kevin L., Sebastian Seung, H., Wegener, Detlef, Bohnenkamp, Lisa, Ernst, Udo A., Devor, Anna, Dale, Anders M., Lines, Glenn T., Edwards, Andy, Tveito, Aslak, Hagen, Espen, Senk, Johanna, Diesmann, Markus, Schmidt, Maximilian, Bakker, Rembrandt, Shen, Kelly, Bezgin, Gleb, Hilgetag, Claus-Christian, van Albada, Sacha Jennifer, Sun, Haoqi, Sourina, Olga, Huang, Guang-Bin, Klanner, Felix, Denk, Cornelia, Glomb, Katharina, Ponce-Alvarez, Adrián, Gilson, Matthieu, Ritter, Petra, Deco, Gustavo, Witek, Maria A. G., Clarke, Eric F., Hansen, Mads, Wallentin, Mikkel, Kringelbach, Morten L., Vuust, Peter, Klingbeil, Guido, De Schutter, Erik, Chen, Weiliang, Zang, Yunliang, Hong, Sungho, Takashima, Akira, Zamora, Criseida, Gallimore, Andrew R., Goldschmidt, Dennis, Manoonpong, Poramate, Karoly, Philippa J., Freestone, Dean R., Soundry, Daniel, Kuhlmann, Levin, Paninski, Liam, Cook, Mark, Lee, Jaejin, Fishman, Yonatan I., Cohen, Yale E., Roberts, James A., Cocchi, Luca, Sweeney, Yann, Lee, Soohyun, Jung, Woo-Sung, Kim, Youngsoo, Jung, Younginha, Song, Yoon-Kyu, Chavane, Frédéric, Soman, Karthik, Muralidharan, Vignesh, Srinivasa Chakravarthy, V., Shivkumar, Sabyasachi, Mandali, Alekhya, Pragathi Priyadharsini, B., Mehta, Hima, Davey, Catherine E., Brinkman, Braden A. W., Kekona, Tyler, Rieke, Fred, Buice, Michael, De Pittà, Maurizio, Berry, Hugues, Brunel, Nicolas, Breakspear, Michael, Marsat, Gary, Drew, Jordan, Chapman, Phillip D., Daly, Kevin C., Bradle, Samual P., Seo, Sat Byul, Su, Jianzhong, Kavalali, Ege T., Blackwell, Justin, Shiau, LieJune, Buhry, Laure, Basnayake, Kanishka, Lee, Sue-Hyun, Levy, Brandon A., Baker, Chris I., Leleu, Timothée, Philips, Ryan T., and Chhabria, Karishma
- Abstract
Table of contents A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Nielsen, Volker Steuber O8 Analytic solution of cable energy function for cortical axons and dendrites Huiwen Ju, Jiao Yu, Michael L. Hines, Liang Chen, Yuguo Yu O9 C. elegans interactome: interactive visualization of Caenorhabditis elegans worm neuronal network Jimin Kim, Will Leahy, Eli Shlizerman O10 Is the model any good? Objective criteria for computational neuroscience model selection Justas Birgiolas, Richard C. Gerkin, Sharon M. Crook O11 Cooperation and competition of gamma oscillation mechanisms Atthaphon Viriyopase, Raoul-Martin Memmesheimer, Stan Gielen O12 A discrete structure of the brain waves Yuri Dabaghian, Justin DeVito, Luca Perotti O13 Direction-specific silencing of the Drosophila gaze stabilization system Anmo J. Kim, Lisa M. Fenk, Cheng Lyu, Gaby Maimon O14 What does the fruit fly think about values? A model of olfactory associative learning Chang Zhao, Yves Widmer, Simon Sprecher,Walter Senn O15 Effects of ionic diffusion on power spectra of local field potentials (LFP) Geir Halnes, Tuomo Mäki-Marttunen, Daniel Keller, Klas H. Pettersen,Ole A. Andreassen, Gaute T. Einevoll O16 Large-scale cortical models towards understanding relationship between brain structure abnormalities and cognitive deficits Yasunori Yamada O17 Spatial coarse-graining the brain: origin of minicolumns Moira L. Steyn-Ross, D. Alistair Steyn-Ross O18 Modeling large-scale cortical networks with laminar structure Jorge F. Mejias, John D. Murray, Henry Kennedy, Xiao-Jing Wang O19 Information filtering by partial synchronous spikes in a neural population Alexandra Kruscha, Jan Grewe, Jan Benda, Benjamin Lindner O20 Decoding context-dependent olfactory valence in Drosophila Laurent Badel, Kazumi Ohta, Yoshiko Tsuchimoto, Hokto Kazama P1 Neural network as a scale-free network: the role of a hub B. Kahng P2 Hemodynamic responses to emotions and decisions using near-infrared spectroscopy optical imaging Nicoladie D. Tam P3 Phase space analysis of hemodynamic responses to intentional movement directions using functional near-infrared spectroscopy (fNIRS) optical imaging technique Nicoladie D.Tam, Luca Pollonini, George Zouridakis P4 Modeling jamming avoidance of weakly electric fish Jaehyun Soh, DaeEun Kim P5 Synergy and redundancy of retinal ganglion cells in prediction Minsu Yoo, S. E. Palmer P6 A neural field model with a third dimension representing cortical depth Viviana Culmone, Ingo Bojak P7 Network analysis of a probabilistic connectivity model of the Xenopus tadpole spinal cord Andrea Ferrario, Robert Merrison-Hort, Roman Borisyuk P8 The recognition dynamics in the brain Chang Sub Kim P9 Multivariate spike train analysis using a positive definite kernel Taro Tezuka P10 Synchronization of burst periods may govern slow brain dynamics during general anesthesia Pangyu Joo P11 The ionic basis of heterogeneity affects stochastic synchrony Young-Ah Rho, Shawn D. Burton, G. Bard Ermentrout, Jaeseung Jeong, Nathaniel N. Urban P12 Circular statistics of noise in spike trains with a periodic component Petr Marsalek P14 Representations of directions in EEG-BCI using Gaussian readouts Hoon-Hee Kim, Seok-hyun Moon, Do-won Lee, Sung-beom Lee, Ji-yong Lee, Jaeseung Jeong P15 Action selection and reinforcement learning in basal ganglia during reaching movements Yaroslav I. Molkov, Khaldoun Hamade, Wondimu Teka, William H. Barnett, Taegyo Kim, Sergey Markin, Ilya A. Rybak P17 Axon guidance: modeling axonal growth in T-Junction assay Csaba Forro, Harald Dermutz, László Demkó, János Vörös P19 Transient cell assembly networks encode persistent spatial memories Yuri Dabaghian, Andrey Babichev P20 Theory of population coupling and applications to describe high order correlations in large populations of interacting neurons Haiping Huang P21 Design of biologically-realistic simulations for motor control Sergio Verduzco-Flores P22 Towards understanding the functional impact of the behavioural variability of neurons Filipa Dos Santos, Peter Andras P23 Different oscillatory dynamics underlying gamma entrainment deficits in schizophrenia Christoph Metzner, Achim Schweikard, Bartosz Zurowski P24 Memory recall and spike frequency adaptation James P. Roach, Leonard M. Sander, Michal R. Zochowski P25 Stability of neural networks and memory consolidation preferentially occur near criticality Quinton M. Skilling, Nicolette Ognjanovski, Sara J. Aton, Michal Zochowski P26 Stochastic Oscillation in Self-Organized Critical States of Small Systems: Sensitive Resting State in Neural Systems Sheng-Jun Wang, Guang Ouyang, Jing Guang, Mingsha Zhang, K. Y. Michael Wong, Changsong Zhou P27 Neurofield: a C++ library for fast simulation of 2D neural field models Peter A. Robinson, Paula Sanz-Leon, Peter M. Drysdale, Felix Fung, Romesh G. Abeysuriya, Chris J. Rennie, Xuelong Zhao P28 Action-based grounding: Beyond encoding/decoding in neural code Yoonsuck Choe, Huei-Fang Yang P29 Neural computation in a dynamical system with multiple time scales Yuanyuan Mi, Xiaohan Lin, Si Wu P30 Maximum entropy models for 3D layouts of orientation selectivity Joscha Liedtke, Manuel Schottdorf, Fred Wolf P31 A behavioral assay for probing computations underlying curiosity in rodents Yoriko Yamamura, Jeffery R. Wickens P32 Using statistical sampling to balance error function contributions to optimization of conductance-based models Timothy Rumbell, Julia Ramsey, Amy Reyes, Danel Draguljić, Patrick R. Hof, Jennifer Luebke, Christina M. Weaver P33 Exploration and implementation of a self-growing and self-organizing neuron network building algorithm Hu He, Xu Yang, Hailin Ma, Zhiheng Xu, Yuzhe Wang P34 Disrupted resting state brain network in obese subjects: a data-driven graph theory analysis Kwangyeol Baek, Laurel S. Morris, Prantik Kundu, Valerie Voon P35 Dynamics of cooperative excitatory and inhibitory plasticity Everton J. Agnes, Tim P. Vogels P36 Frequency-dependent oscillatory signal gating in feed-forward networks of integrate-and-fire neurons William F. Podlaski, Tim P. Vogels P37 Phenomenological neural model for adaptation of neurons in area IT Martin Giese, Pradeep Kuravi, Rufin Vogels P38 ICGenealogy: towards a common topology of neuronal ion channel function and genealogy in model and experiment Alexander Seeholzer, William Podlaski, Rajnish Ranjan, Tim Vogels P39 Temporal input discrimination from the interaction between dynamic synapses and neural subthreshold oscillations Joaquin J. Torres, Fabiano Baroni, Roberto Latorre, Pablo Varona P40 Different roles for transient and sustained activity during active visual processing Bart Gips, Eric Lowet, Mark J. Roberts, Peter de Weerd, Ole Jensen, Jan van der Eerden P41 Scale-free functional networks of 2D Ising model are highly robust against structural defects: neuroscience implications Abdorreza Goodarzinick, Mohammad D. Niry, Alireza Valizadeh P42 High frequency neuron can facilitate propagation of signal in neural networks Aref Pariz, Shervin S. Parsi, Alireza Valizadeh P43 Investigating the effect of Alzheimer’s disease related amyloidopathy on gamma oscillations in the CA1 region of the hippocampus Julia M. Warburton, Lucia Marucci, Francesco Tamagnini, Jon Brown, Krasimira Tsaneva-Atanasova P44 Long-tailed distributions of inhibitory and excitatory weights in a balanced network with eSTDP and iSTDP Florence I. Kleberg, Jochen Triesch P45 Simulation of EMG recording from hand muscle due to TMS of motor cortex Bahar Moezzi, Nicolangelo Iannella, Natalie Schaworonkow, Lukas Plogmacher, Mitchell R. Goldsworthy, Brenton Hordacre, Mark D. McDonnell, Michael C. Ridding, Jochen Triesch P46 Structure and dynamics of axon network formed in primary cell culture Martin Zapotocky, Daniel Smit, Coralie Fouquet, Alain Trembleau P47 Efficient signal processing and sampling in random networks that generate variability Sakyasingha Dasgupta, Isao Nishikawa, Kazuyuki Aihara, Taro Toyoizumi P48 Modeling the effect of riluzole on bursting in respiratory neural networks Daniel T. Robb, Nick Mellen, Natalia Toporikova P49 Mapping relaxation training using effective connectivity analysis Rongxiang Tang, Yi-Yuan Tang P50 Modeling neuron oscillation of implicit sequence learning Guangsheng Liang, Seth A. Kiser, James H. Howard, Jr., Yi-Yuan Tang P51 The role of cerebellar short-term synaptic plasticity in the pathology and medication of downbeat nystagmus Julia Goncharenko, Neil Davey, Maria Schilstra, Volker Steuber P52 Nonlinear response of noisy neurons Sergej O. Voronenko, Benjamin Lindner P53 Behavioral embedding suggests multiple chaotic dimensions underlie C. elegans locomotion Tosif Ahamed, Greg Stephens P54 Fast and scalable spike sorting for large and dense multi-electrodes recordings Pierre Yger, Baptiste Lefebvre, Giulia Lia Beatrice Spampinato, Elric Esposito, Marcel Stimberg et Olivier Marre P55 Sufficient sampling rates for fast hand motion tracking Hansol Choi, Min-Ho Song P56 Linear readout of object manifolds SueYeon Chung, Dan D. Lee, Haim Sompolinsky P57 Differentiating models of intrinsic bursting and rhythm generation of the respiratory pre-Bötzinger complex using phase response curves Ryan S. Phillips, Jeffrey Smith P58 The effect of inhibitory cell network interactions during theta rhythms on extracellular field potentials in CA1 hippocampus Alexandra Pierri Chatzikalymniou, Katie Ferguson, Frances K. Skinner P59 Expansion recoding through sparse sampling in the cerebellar input layer speeds learning N. Alex Cayco Gajic, Claudia Clopath, R. Angus Silver P60 A set of curated cortical models at multiple scales on Open Source Brain Padraig Gleeson, Boris Marin, Sadra Sadeh, Adrian Quintana, Matteo Cantarelli, Salvador Dura-Bernal, William W. Lytton, Andrew Davison, R. Angus Silver P61 A synaptic story of dynamical information encoding in neural adaptation Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Si Wu P62 Physical modeling of rule-observant rodent behavior Youngjo Song, Sol Park, Ilhwan Choi, Jaeseung Jeong, Hee-sup Shin P64 Predictive coding in area V4 and prefrontal cortex explains dynamic discrimination of partially occluded shapes Hannah Choi, Anitha Pasupathy, Eric Shea-Brown P65 Stability of FORCE learning on spiking and rate-based networks Dongsung Huh, Terrence J. Sejnowski P66 Stabilising STDP in striatal neurons for reliable fast state recognition in noisy environments Simon M. Vogt, Arvind Kumar, Robert Schmidt P67 Electrodiffusion in one- and two-compartment neuron models for characterizing cellular effects of electrical stimulation Stephen Van Wert, Steven J. Schiff P68 STDP improves speech recognition capabilities in spiking recurrent circuits parameterized via differential evolution Markov Chain Monte Carlo Richard Veale, Matthias Scheutz P69 Bidirectional transformation between dominant cortical neural activities and phase difference distributions Sang Wan Lee P70 Maturation of sensory networks through homeostatic structural plasticity Júlia Gallinaro, Stefan Rotter P71 Corticothalamic dynamics: structure, number of solutions and stability of steady-state solutions in the space of synaptic couplings Paula Sanz-Leon, Peter A. Robinson P72 Optogenetic versus electrical stimulation of the parkinsonian basal ganglia. Computational study Leonid L. Rubchinsky, Chung Ching Cheung, Shivakeshavan Ratnadurai-Giridharan P73 Exact spike-timing distribution reveals higher-order interactions of neurons Safura Rashid Shomali, Majid Nili Ahmadabadi, Hideaki Shimazaki, S. Nader Rasuli P74 Neural mechanism of visual perceptual learning using a multi-layered neural network Xiaochen Zhao, Malte J. Rasch P75 Inferring collective spiking dynamics from mostly unobserved systems Jens Wilting, Viola Priesemann P76 How to infer distributions in the brain from subsampled observations Anna Levina, Viola Priesemann P77 Influences of embedding and estimation strategies on the inferred memory of single spiking neurons Lucas Rudelt, Joseph T. Lizier, Viola Priesemann P78 A nearest-neighbours based estimator for transfer entropy between spike trains Joseph T. Lizier, Richard E. Spinney, Mikail Rubinov, Michael Wibral, Viola Priesemann P79 Active learning of psychometric functions with multinomial logistic models Ji Hyun Bak, Jonathan Pillow P81 Inferring low-dimensional network dynamics with variational latent Gaussian process Yuan Zaho, Il Memming Park P82 Computational investigation of energy landscapes in the resting state subcortical brain network Jiyoung Kang, Hae-Jeong Park P83 Local repulsive interaction between retinal ganglion cells can generate a consistent spatial periodicity of orientation map Jaeson Jang, Se-Bum Paik P84 Phase duration of bistable perception reveals intrinsic time scale of perceptual decision under noisy condition Woochul Choi, Se-Bum Paik P85 Feedforward convergence between retina and primary visual cortex can determine the structure of orientation map Changju Lee, Jaeson Jang, Se-Bum Paik P86 Computational method classifying neural network activity patterns for imaging data Min Song, Hyeonsu Lee, Se-Bum Paik P87 Symmetry of spike-timing-dependent-plasticity kernels regulates volatility of memory Youngjin Park, Woochul Choi, Se-Bum Paik P88 Effects of time-periodic coupling strength on the first-spike latency dynamics of a scale-free network of stochastic Hodgkin-Huxley neurons Ergin Yilmaz, Veli Baysal, Mahmut Ozer P89 Spectral properties of spiking responses in V1 and V4 change within the trial and are highly relevant for behavioral performance Veronika Koren, Klaus Obermayer P90 Methods for building accurate models of individual neurons Daniel Saska, Thomas Nowotny P91 A full size mathematical model of the early olfactory system of honeybees Ho Ka Chan, Alan Diamond, Thomas Nowotny P92 Stimulation-induced tuning of ongoing oscillations in spiking neural networks Christoph S. Herrmann, Micah M. Murray, Silvio Ionta, Axel Hutt, Jérémie Lefebvre P93 Decision-specific sequences of neural activity in balanced random networks driven by structured sensory input Philipp Weidel, Renato Duarte, Abigail Morrison P94 Modulation of tuning induced by abrupt reduction of SST cell activity Jung H. Lee, Ramakrishnan Iyer, Stefan Mihalas P95 The functional role of VIP cell activation during locomotion Jung H. Lee, Ramakrishnan Iyer, Christof Koch, Stefan Mihalas P96 Stochastic inference with spiking neural networks Mihai A. Petrovici, Luziwei Leng, Oliver Breitwieser, David Stöckel, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier P97 Modeling orientation-selective electrical stimulation with retinal prostheses Timothy B. Esler, Anthony N. Burkitt, David B. Grayden, Robert R. Kerr, Bahman Tahayori, Hamish Meffin P98 Ion channel noise can explain firing correlation in auditory nerves Bahar Moezzi, Nicolangelo Iannella, Mark D. McDonnell P99 Limits of temporal encoding of thalamocortical inputs in a neocortical microcircuit Max Nolte, Michael W. Reimann, Eilif Muller, Henry Markram P100 On the representation of arm reaching movements: a computational model Antonio Parziale, Rosa Senatore, Angelo Marcelli P101 A computational model for investigating the role of cerebellum in acquisition and retention of motor behavior Rosa Senatore, Antonio Parziale, Angelo Marcelli P102 The emergence of semantic categories from a large-scale brain network of semantic knowledge K. Skiker, M. Maouene P103 Multiscale modeling of M1 multitarget pharmacotherapy for dystonia Samuel A. Neymotin, Salvador Dura-Bernal, Alexandra Seidenstein, Peter Lakatos, Terence D. Sanger, William W. Lytton P104 Effect of network size on computational capacity Salvador Dura-Bernal, Rosemary J. Menzies, Campbell McLauchlan, Sacha J. van Albada, David J. Kedziora, Samuel Neymotin, William W. Lytton, Cliff C. Kerr P105 NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks Salvador Dura-Bernal, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Adrian Quintana, Padraig Gleeson, Gordon M. G. Shepherd, William W. Lytton P107 Inter-areal and inter-regional inhomogeneity in co-axial anisotropy of Cortical Point Spread in human visual areas Juhyoung Ryu, Sang-Hun Lee P108 Two bayesian quanta of uncertainty explain the temporal dynamics of cortical activity in the non-sensory areas during bistable perception Joonwon Lee, Sang-Hun Lee P109 Optimal and suboptimal integration of sensory and value information in perceptual decision making Hyang Jung Lee, Sang-Hun Lee P110 A Bayesian algorithm for phoneme Perception and its neural implementation Daeseob Lim, Sang-Hun Lee P111 Complexity of EEG signals is reduced during unconsciousness induced by ketamine and propofol Jisung Wang, Heonsoo Lee P112 Self-organized criticality of neural avalanche in a neural model on complex networks Nam Jung, Le Anh Quang, Seung Eun Maeng, Tae Ho Lee, Jae Woo Lee P113 Dynamic alterations in connection topology of the hippocampal network during ictal-like epileptiform activity in an in vitro rat model Chang-hyun Park, Sora Ahn, Jangsup Moon, Yun Seo Choi, Juhee Kim, Sang Beom Jun, Seungjun Lee, Hyang Woon Lee P114 Computational model to replicate seizure suppression effect by electrical stimulation Sora Ahn, Sumin Jo, Eunji Jun, Suin Yu, Hyang Woon Lee, Sang Beom Jun, Seungjun Lee P115 Identifying excitatory and inhibitory synapses in neuronal networks from spike trains using sorted local transfer entropy Felix Goetze, Pik-Yin Lai P116 Neural network model for obstacle avoidance based on neuromorphic computational model of boundary vector cell and head direction cell Seonghyun Kim, Jeehyun Kwag P117 Dynamic gating of spike pattern propagation by Hebbian and anti-Hebbian spike timing-dependent plasticity in excitatory feedforward network model Hyun Jae Jang, Jeehyun Kwag P118 Inferring characteristics of input correlations of cells exhibiting up-down state transitions in the rat striatum Marko Filipović, Ramon Reig, Ad Aertsen, Gilad Silberberg, Arvind Kumar P119 Graph properties of the functional connected brain under the influence of Alzheimer’s disease Claudia Bachmann, Simone Buttler, Heidi Jacobs, Kim Dillen, Gereon R. Fink, Juraj Kukolja, Abigail Morrison P120 Learning sparse representations in the olfactory bulb Daniel Kepple, Hamza Giaffar, Dima Rinberg, Steven Shea, Alex Koulakov P121 Functional classification of homologous basal-ganglia networks Jyotika Bahuguna,Tom Tetzlaff, Abigail Morrison, Arvind Kumar, Jeanette Hellgren Kotaleski P122 Short term memory based on multistability Tim Kunze, Andre Peterson, Thomas Knösche P123 A physiologically plausible, computationally efficient model and simulation software for mammalian motor units Minjung Kim, Hojeong Kim P125 Decoding laser-induced somatosensory information from EEG Ji Sung Park, Ji Won Yeon, Sung-Phil Kim P126 Phase synchronization of alpha activity for EEG-based personal authentication Jae-Hwan Kang, Chungho Lee, Sung-Phil Kim P129 Investigating phase-lags in sEEG data using spatially distributed time delays in a large-scale brain network model Andreas Spiegler, Spase Petkoski, Matias J. Palva, Viktor K. Jirsa P130 Epileptic seizures in the unfolding of a codimension-3 singularity Maria L. Saggio, Silvan F. Siep, Andreas Spiegler, William C. Stacey, Christophe Bernard, Viktor K. Jirsa P131 Incremental dimensional exploratory reasoning under multi-dimensional environment Oh-hyeon Choung, Yong Jeong P132 A low-cost model of eye movements and memory in personal visual cognition Yong-il Lee, Jaeseung Jeong P133 Complex network analysis of structural connectome of autism spectrum disorder patients Su Hyun Kim, Mir Jeong, Jaeseung Jeong P134 Cognitive motives and the neural correlates underlying human social information transmission, gossip Jeungmin Lee, Jaehyung Kwon, Jerald D. Kralik, Jaeseung Jeong P135 EEG hyperscanning detects neural oscillation for the social interaction during the economic decision-making Jaehwan Jahng, Dong-Uk Hwang, Jaeseung Jeong P136 Detecting purchase decision based on hyperfrontality of the EEG Jae-Hyung Kwon, Sang-Min Park, Jaeseung Jeong P137 Vulnerability-based critical neurons, synapses, and pathways in the Caenorhabditis elegans connectome Seongkyun Kim, Hyoungkyu Kim, Jerald D. Kralik, Jaeseung Jeong P138 Motif analysis reveals functionally asymmetrical neurons in C. elegans Pyeong Soo Kim, Seongkyun Kim, Hyoungkyu Kim, Jaeseung Jeong P139 Computational approach to preference-based serial decision dynamics: do temporal discounting and working memory affect it? Sangsup Yoon, Jaehyung Kwon, Sewoong Lim, Jaeseung Jeong P141 Social stress induced neural network reconfiguration affects decision making and learning in zebrafish Choongseok Park, Thomas Miller, Katie Clements, Sungwoo Ahn, Eoon Hye Ji, Fadi A. Issa P142 Descriptive, generative, and hybrid approaches for neural connectivity inference from neural activity data JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii P145 Divergent-convergent synaptic connectivities accelerate coding in multilayered sensory systems Thiago S. Mosqueiro, Martin F. Strube-Bloss, Brian Smith, Ramon Huerta P146 Swinging networks Michal Hadrava, Jaroslav Hlinka P147 Inferring dynamically relevant motifs from oscillatory stimuli: challenges, pitfalls, and solutions Hannah Bos, Moritz Helias P148 Spatiotemporal mapping of brain network dynamics during cognitive tasks using magnetoencephalography and deep learning Charles M. Welzig, Zachary J. Harper P149 Multiscale complexity analysis for the segmentation of MRI images Won Sup Kim, In-Seob Shin, Hyeon-Man Baek, Seung Kee Han P150 A neuro-computational model of emotional attention René Richter, Julien Vitay, Frederick Beuth, Fred H. Hamker P151 Multi-site delayed feedback stimulation in parkinsonian networks Kelly Toppin, Yixin Guo P152 Bistability in Hodgkin–Huxley-type equations Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt, David B. Grayden P153 Phase changes in postsynaptic spiking due to synaptic connectivity and short term plasticity: mathematical analysis of frequency dependency Mark D. McDonnell, Bruce P. Graham P154 Quantifying resilience patterns in brain networks: the importance of directionality Penelope J. Kale, Leonardo L. Gollo P155 Dynamics of rate-model networks with separate excitatory and inhibitory populations Merav Stern, L. F. Abbott P156 A model for multi-stable dynamics in action recognition modulated by integration of silhouette and shading cues Leonid A. Fedorov, Martin A. Giese P157 Spiking model for the interaction between action recognition and action execution Mohammad Hovaidi Ardestani, Martin Giese P158 Surprise-modulated belief update: how to learn within changing environments? Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner P159 A fast, stochastic and adaptive model of auditory nerve responses to cochlear implant stimulation Margriet J. van Gendt, Jeroen J. Briaire, Randy K. Kalkman, Johan H. M. Frijns P160 Quantitative comparison of graph theoretical measures of simulated and empirical functional brain networks Won Hee Lee, Sophia Frangou P161 Determining discriminative properties of fMRI signals in schizophrenia using highly comparative time-series analysis Ben D. Fulcher, Patricia H. P. Tran, Alex Fornito P162 Emergence of narrowband LFP oscillations from completely asynchronous activity during seizures and high-frequency oscillations Stephen V. Gliske, William C. Stacey, Eugene Lim, Katherine A. Holman, Christian G. Fink P163 Neuronal diversity in structure and function: cross-validation of anatomical and physiological classification of retinal ganglion cells in the mouse Jinseop S. Kim, Shang Mu, Kevin L. Briggman, H. Sebastian Seung, the EyeWirers P164 Analysis and modelling of transient firing rate changes in area MT in response to rapid stimulus feature changes Detlef Wegener, Lisa Bohnenkamp, Udo A. Ernst P165 Step-wise model fitting accounting for high-resolution spatial measurements: construction of a layer V pyramidal cell model with reduced morphology Tuomo Mäki-Marttunen, Geir Halnes, Anna Devor, Christoph Metzner, Anders M. Dale, Ole A. Andreassen, Gaute T. Einevoll P166 Contributions of schizophrenia-associated genes to neuron firing and cardiac pacemaking: a polygenic modeling approach Tuomo Mäki-Marttunen, Glenn T. Lines, Andy Edwards, Aslak Tveito, Anders M. Dale, Gaute T. Einevoll, Ole A. Andreassen P167 Local field potentials in a 4 × 4 mm2 multi-layered network model Espen Hagen, Johanna Senk, Sacha J. van Albada, Markus Diesmann P168 A spiking network model explains multi-scale properties of cortical dynamics Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Claus-Christian Hilgetag, Markus Diesmann, Sacha Jennifer van Albada P169 Using joint weight-delay spike-timing dependent plasticity to find polychronous neuronal groups Haoqi Sun, Olga Sourina, Guang-Bin Huang, Felix Klanner, Cornelia Denk P170 Tensor decomposition reveals RSNs in simulated resting state fMRI Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco P171 Getting in the groove: testing a new model-based method for comparing task-evoked vs resting-state activity in fMRI data on music listening Matthieu Gilson, Maria AG Witek, Eric F. Clarke, Mads Hansen, Mikkel Wallentin, Gustavo Deco, Morten L. Kringelbach, Peter Vuust P172 STochastic engine for pathway simulation (STEPS) on massively parallel processors Guido Klingbeil, Erik De Schutter P173 Toolkit support for complex parallel spatial stochastic reaction–diffusion simulation in STEPS Weiliang Chen, Erik De Schutter P174 Modeling the generation and propagation of Purkinje cell dendritic spikes caused by parallel fiber synaptic input Yunliang Zang, Erik De Schutter P175 Dendritic morphology determines how dendrites are organized into functional subunits Sungho Hong, Akira Takashima, Erik De Schutter P176 A model of Ca2+/calmodulin-dependent protein kinase II activity in long term depression at Purkinje cells Criseida Zamora, Andrew R. Gallimore, Erik De Schutter P177 Reward-modulated learning of population-encoded vectors for insect-like navigation in embodied agents Dennis Goldschmidt, Poramate Manoonpong, Sakyasingha Dasgupta P178 Data-driven neural models part II: connectivity patterns of human seizures Philippa J. Karoly, Dean R. Freestone, Daniel Soundry, Levin Kuhlmann, Liam Paninski, Mark Cook P179 Data-driven neural models part I: state and parameter estimation Dean R. Freestone, Philippa J. Karoly, Daniel Soundry, Levin Kuhlmann, Mark Cook P180 Spectral and spatial information processing in human auditory streaming Jaejin Lee, Yonatan I. Fishman, Yale E. Cohen P181 A tuning curve for the global effects of local perturbations in neural activity: Mapping the systems-level susceptibility of the brain Leonardo L. Gollo, James A. Roberts, Luca Cocchi P182 Diverse homeostatic responses to visual deprivation mediated by neural ensembles Yann Sweeney, Claudia Clopath P183 Opto-EEG: a novel method for investigating functional connectome in mouse brain based on optogenetics and high density electroencephalography Soohyun Lee, Woo-Sung Jung, Jee Hyun Choi P184 Biphasic responses of frontal gamma network to repetitive sleep deprivation during REM sleep Bowon Kim, Youngsoo Kim, Eunjin Hwang, Jee Hyun Choi P185 Brain-state correlate and cortical connectivity for frontal gamma oscillations in top-down fashion assessed by auditory steady-state response Younginha Jung, Eunjin Hwang, Yoon-Kyu Song, Jee Hyun Choi P186 Neural field model of localized orientation selective activation in V1 James Rankin, Frédéric Chavane P187 An oscillatory network model of Head direction and Grid cells using locomotor inputs Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy P188 A computational model of hippocampus inspired by the functional architecture of basal ganglia Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy P189 A computational architecture to model the microanatomy of the striatum and its functional properties Sabyasachi Shivkumar, Vignesh Muralidharan, V. Srinivasa Chakravarthy P190 A scalable cortico-basal ganglia model to understand the neural dynamics of targeted reaching Vignesh Muralidharan, Alekhya Mandali, B. Pragathi Priyadharsini, Hima Mehta, V. Srinivasa Chakravarthy P191 Emergence of radial orientation selectivity from synaptic plasticity Catherine E. Davey, David B. Grayden, Anthony N. Burkitt P192 How do hidden units shape effective connections between neurons? Braden A. W. Brinkman, Tyler Kekona, Fred Rieke, Eric Shea-Brown, Michael Buice P193 Characterization of neural firing in the presence of astrocyte-synapse signaling Maurizio De Pittà, Hugues Berry, Nicolas Brunel P194 Metastability of spatiotemporal patterns in a large-scale network model of brain dynamics James A. Roberts, Leonardo L. Gollo, Michael Breakspear P195 Comparison of three methods to quantify detection and discrimination capacity estimated from neural population recordings Gary Marsat, Jordan Drew, Phillip D. Chapman, Kevin C. Daly, Samual P. Bradley P196 Quantifying the constraints for independent evoked and spontaneous NMDA receptor mediated synaptic transmission at individual synapses Sat Byul Seo, Jianzhong Su, Ege T. Kavalali, Justin Blackwell P199 Gamma oscillation via adaptive exponential integrate-and-fire neurons LieJune Shiau, Laure Buhry, Kanishka Basnayake P200 Visual face representations during memory retrieval compared to perception Sue-Hyun Lee, Brandon A. Levy, Chris I. Baker P201 Top-down modulation of sequential activity within packets modeled using avalanche dynamics Timothée Leleu, Kazuyuki Aihara Q28 An auto-encoder network realizes sparse features under the influence of desynchronized vascular dynamics Ryan T. Philips, Karishma Chhabria, V. Srinivasa Chakravarthy
- Published
- 2016
- Full Text
- View/download PDF
34. VEHICULAR POLLUTION, ITS PHYSICAL AND PSYCHOLOGICAL IMPACT ON DIFFERENT POPULATION GROUPS, AND MITIGATION STRATEGIES.
- Author
-
Bhadauria, Neha, Chauhan, Abhishek, Ranjan, Rajnish, and Jindal, Tanu
- Abstract
One of the main causes of poor air quality is vehicular pollution. In light of the heavy traffic volume and diverse traffic composition, which includes motorized and non-motorized vehicles as well as cars, buses, and trucks, it is critical to determine whether commuters can link their regular symptoms of illness to the level of pollution emitted by different modes of transportation. A questionnaire survey of 400 respondents was conducted for assessing the impacts of vehicular pollution on different population groups. According to the study, around 40% of commuters faced irritation of the eyes/throat as one of the biggest health issues followed by headache (29%), breathing difficulties (17%) and coughing (13%). According to 39% of respondents, anger/irritation was one of the biggest psychological effects experienced during daily commutes followed by stress (33%), anxiety (24%), and dementia (3%). Several mitigation strategies have been recommended by the public to reduce the effects of vehicular pollution including public transportation, electric cars, alternative fuels, and carpooling. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
35. Engineering Neuron Models from Ion Channels to Electrical Behavior
- Author
-
Ranjan, Rajnish and Markram, Henry
- Subjects
Structured wiki ,base de données ,clamp dynamique ,Neocortical column ,criblage à haut débit ,Kv2.1 ,Kir2.1 ,CHO ,Network simulation ,colonne néocorticale ,structure wiki ,High-throughput screening ,canaux ioniques ,Automated voltage clamp ,Neuronal modeling ,gestion de contenu d'informations ,Hodgkin-Huxley model ,Database ,Information management ,simulation de réseau ,modèle de Hodgkin-Huxley ,Dynamic clamp ,Ion channel ,modélisation neuronale ,voltage clamp automatisé - Abstract
The neocortex is one of the most evolved and complex region of the brain. For more than a century scientists have been curious about the neocortex, to identify the anatomical blueprint of its cellular organization and to understand its role in higher brain functions. The Blue Brain Project aims to study the neocortex of the rat by developing its basic anatomical unit, the cortical column, in a simulation-based, data driven research environment. This requires 10,000 biologically accurate neuron models and a combination of the full spectrum of genetically determined ion channels, to capture the complete electrical diversity in a biologically constrained manner. This dissertation, which was carried out within the scope of the Blue Brain Project, illustrates a framework to build neuron models and its integration for neuron network simulation. Building biophysically accurate neuron models requires realistic ion channel models of around 200 of the different types of ion channels expressed in the neocortex. Although a significant amount of experimental data has been gathered over the past 30 years, consolidation of these findings into an easily accessible online resource is still missing. Moreover, the differences in experimental conditions make it difficult to faithfully create models for these ion channels. Therefore, to consolidate existing ion channel literature, a knowledge base system Channelpedia (www.channelpedia.net) has been developed. Equipped with 187 annotated ion channels with 50 Hodgkin-Huxley(HH) models, Channelpedia provides an ideal discussion platform, for researchers to collaborate and synthesize information from literature. To address the unavailability of experimental data, a high-throughput ion channel screening method was developed. This approach involves ion channel gene transfection in Chinese Hamster Ovarian (CHO) cell lines, automated voltage-clamp experiments, and an automated HH model fitting routine. Finally, to validate the role of ion channels in a model neuron, I perform a series of in-vitro and in-silico dynamic clamp experiments on layer 2/3 pyramidal neurons.
36. Computational modelling of a mouse layer 5 pyramidal neuron using genetic ion channels
- Author
-
Mandge, Darshan, Roussel, Yann, van Dorp, Stijn, Damart, Tanguy, Keller, Daniel, Ranjan, Rajnish, Van Geit, Werner, and Markram, Henry
37. Reconstruction and simulation of neocortical microcircuitry
- Author
-
Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, Schürmann, Felix, Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Abstract
We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
- Full Text
- View/download PDF
38. Reconstruction and simulation of neocortical microcircuitry
- Author
-
Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, Schürmann, Felix, Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Abstract
We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
- Full Text
- View/download PDF
39. Reconstruction and simulation of neocortical microcircuitry
- Author
-
Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, Schürmann, Felix, Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Abstract
We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
- Full Text
- View/download PDF
40. Reconstruction and simulation of neocortical microcircuitry
- Author
-
Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, Schürmann, Felix, Markram, Henry, Muller, Eilif, Ramaswamy, Srikanth, Reimann, Michael W., Abdellah, Marwan, Sanchez, Carlos Aguado, Ailamaki, Anastasia, Alonso-Nanclares, Lidia, Antille, Nicolas, Arsever, Selim, Kahou, Guy Antoine Atenekeng, Berger, Thomas K., Bilgili, Ahmet, Buncic, Nenad, Chalimourda, Athanassia, Chindemi, Giuseppe, Courcol, Jean-Denis, Delalondre, Fabien, Delattre, Vincent, Druckmann, Shaul, Dumusc, Raphael, Dynes, James, Eilemann, Stefan, Gal, Eyal, Gevaert, Michael Emiel, Ghobril, Jean-Pierre, Gidon, Albert, Graham, Joe W., Gupta, Anirudh, Haenel, Valentin, Hay, Etay, Heinis, Thomas, Hernando, Juan B., Hines, Michael, Kanari, Lida, Keller, Daniel, Kenyon, John, Khazen, Georges, Kim, Yihwa, King, James G., Kisvarday, Zoltan, Kumbhar, Pramod, Lasserre, Sébastien, Le Bé, Jean-Vincent, Magalhães, Bruno R.C., Merchán-Pérez, Angel, Meystre, Julie, Morrice, Benjamin Roy, Muller, Jeffrey, Muñoz-Céspedes, Alberto, Muralidhar, Shruti, Muthurasa, Keerthan, Nachbaur, Daniel, Newton, Taylor H., Nolte, Max, Ovcharenko, Aleksandr, Palacios, Juan, Pastor, Luis, Perin, Rodrigo, Ranjan, Rajnish, Riachi, Imad, Rodríguez, José-Rodrigo, Riquelme, Juan Luis, Rössert, Christian, Sfyrakis, Konstantinos, Shi, Ying, Shillcock, Julian C., Silberberg, Gilad, Silva, Ricardo, Tauheed, Farhan, Telefont, Martin, Toledo-Rodriguez, Maria, Tränkler, Thomas, Van Geit, Werner, Díaz, Jafet Villafranca, Walker, Richard, Wang, Yun, Zaninetta, Stefano M., DeFelipe, Javier, Hill, Sean L., Segev, Idan, and Schürmann, Felix
- Abstract
We present a first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat. The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. An objective anatomical method defines a neocortical volume of 0.29 ± 0.01 mm3 containing ∼31,000 neurons, and patch-clamp studies identify 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. When digitally reconstructed neurons are positioned in the volume and synapse formation is restricted to biological bouton densities and numbers of synapses per connection, their overlapping arbors form ∼8 million connections with ∼37 million synapses. Simulations reproduce an array of in vitro and in vivo experiments without parameter tuning. Additionally, we find a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms. The spectrum of network states, dynamically reconfigured around this transition, supports diverse information processing strategies.
- Full Text
- View/download PDF
41. Ready-to-Record Cells for Kinetic Screening of VGICs.
- Author
-
Logette E and Ranjan R
- Subjects
- Humans, Kinetics, HEK293 Cells, Animals, Cell Line, Ion Channel Gating, Patch-Clamp Techniques methods, Ion Channels metabolism, Ion Channels genetics
- Abstract
Voltage-gated ion channels (VGICs) are integral membrane proteins crucial for transmitting electrical signals in excitable cells. Understanding the kinetics of these ion channels requires conducting patch-clamp experiments using genetically modified cell lines that express a single type of ion channel gene. However, this process relies on the continuous maintenance of cell lines to ensure an adequate supply of sample cells for patch-clamp experiments. Advancements in automated patch-clamp methods have enabled researchers to significantly increase the number of patch-clamped cells per experiment, from just a few cells to as many as 384 cells. Despite this progress, the manual task of preparing the cell samples remains a significant bottleneck in the kinetic screening of VGICs. Here we describe a method to address this challenge by generating ready-to-record (RTR) VGIC-expressing cells that can be frozen and stored separately from patch-clamp experiments. This decoupling of the cell sample preparation process from the patch-clamp experiments offers a streamlined approach to studying VGICs on manual or an automated patch-clamp system., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.