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140 results on '"Shuvaev, Sergey"'

1. Simultaneous Positron Emission Tomography and Molecular Magnetic Resonance Imaging of Cardiopulmonary Fibrosis in a Mouse Model of Left Ventricular Dysfunction.

Author

Moon, Brianna, Zhou, Iris, Ning, Yingying, Chen, Yin-Ching, Le Fur, Mariane, Shuvaev, Sergey, Akam, Eman, Ma, Hua, Solsona, Cesar, Weigand-Whittier, Jonah, Rotile, Nicholas, Hariri, Lida, Drummond, Matthew, Boice, Avery, Zygmont, Samantha, Sharma, Yamini, Warburton, Rod, Martin, Gregory, Blanton, Robert, Fanburg, Barry, Hill, Nicholas, Caravan, Peter, and Penumatsa, Krishna

Subjects
[68Ga]CBP8, allysine, collagen, fibrogenesis, heart failure, pulmonary hypertension, Animals, Positron-Emission Tomography, Disease Models, Animal, Fibrosis, Ventricular Dysfunction, Left, Magnetic Resonance Imaging, Mice, Myocardium, Pulmonary Fibrosis, Ventricular Function, Left, Male, Lung, Multimodal Imaging, Collagen, Ventricular Remodeling, Lysine
Abstract

BACKGROUND: Aging-associated left ventricular dysfunction promotes cardiopulmonary fibrogenic remodeling, Group 2 pulmonary hypertension (PH), and right ventricular failure. At the time of diagnosis, cardiac function has declined, and cardiopulmonary fibrosis has often developed. Here, we sought to develop a molecular positron emission tomography (PET)-magnetic resonance imaging (MRI) protocol to detect both cardiopulmonary fibrosis and fibrotic disease activity in a left ventricular dysfunction model. METHODS AND RESULTS: Left ventricular dysfunction was induced by transverse aortic constriction (TAC) in 6-month-old senescence-accelerated prone mice, a subset of mice that received sham surgery. Three weeks after surgery, mice underwent simultaneous PET-MRI at 4.7 T. Collagen-targeted PET and fibrogenesis magnetic resonance (MR) probes were intravenously administered. PET signal was computed as myocardium- or lung-to-muscle ratio. Percent signal intensity increase and Δ lung-to-muscle ratio were computed from the pre-/postinjection magnetic resonance images. Elevated allysine in the heart (P=0.02) and lungs (P=0.17) of TAC mice corresponded to an increase in myocardial magnetic resonance imaging percent signal intensity increase (P

Published
2024

2. A normative theory of social conflict

Author

Shuvaev, Sergey, Amelchenko, Evgeny, Smagin, Dmitry, Kudryavtseva, Natalia, Enikolopov, Grigori, and Koulakov, Alexei

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Social hierarchy in animal groups carries a crucial adaptive function by reducing conflict and injury while protecting valuable group resources. Social hierarchy is dynamic and can be altered by social conflict, agonistic interactions, and aggression. Understanding social conflict and aggressive behavior is of profound importance to our society and welfare. In this study, we developed a quantitative theory of social conflict. We modeled individual agonistic interactions as a normal-form game between two agents. We assumed that the agents use Bayesian inference to update their beliefs about their strength or their opponent's strength and to derive optimal actions. We compared the results of our model to behavioral and whole-brain neural activity data obtained for a large (n=116) population of mice engaged in agonistic interactions. We find that both types of data are consistent with the first-level Theory of Mind model (1-ToM) in which mice form both "primary" beliefs about their and their opponent's strengths as well as the "secondary" beliefs about the beliefs of their opponents. Our model helps identify brain regions that carry information about these levels of beliefs. Overall, we both propose a model to describe agonistic interactions and support our quantitative results with behavioral and neural activity data.

Published
2023

5. Neural networks with motivation

Author

Shuvaev, Sergey A., Tran, Ngoc B., Stephenson-Jones, Marcus, Li, Bo, and Koulakov, Alexei A.

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Machine Learning
Abstract

How can animals behave effectively in conditions involving different motivational contexts? Here, we propose how reinforcement learning neural networks can learn optimal behavior for dynamically changing motivational salience vectors. First, we show that Q-learning neural networks with motivation can navigate in environment with dynamic rewards. Second, we show that such networks can learn complex behaviors simultaneously directed towards several goals distributed in an environment. Finally, we show that in Pavlovian conditioning task, the responses of the neurons in our model resemble the firing patterns of neurons in the ventral pallidum (VP), a basal ganglia structure involved in motivated behaviors. We show that, similarly to real neurons, recurrent networks with motivation are composed of two oppositely-tuned classes of neurons, responding to positive and negative rewards. Our model generates predictions for the VP connectivity. We conclude that networks with motivation can rapidly adapt their behavior to varying conditions without changes in synaptic strength when expected reward is modulated by motivation. Such networks may also provide a mechanism for how hierarchical reinforcement learning is implemented in the brain., Comment: Added the Methods section

Published
2019

6. Representations of Sound in Deep Learning of Audio Features from Music

Author

Shuvaev, Sergey, Giaffar, Hamza, and Koulakov, Alexei A.

Subjects
Computer Science - Sound, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Audio and Speech Processing, Quantitative Biology - Neurons and Cognition
Abstract

The work of a single musician, group or composer can vary widely in terms of musical style. Indeed, different stylistic elements, from performance medium and rhythm to harmony and texture, are typically exploited and developed across an artist's lifetime. Yet, there is often a discernable character to the work of, for instance, individual composers at the perceptual level - an experienced listener can often pick up on subtle clues in the music to identify the composer or performer. Here we suggest that a convolutional network may learn these subtle clues or features given an appropriate representation of the music. In this paper, we apply a deep convolutional neural network to a large audio dataset and empirically evaluate its performance on audio classification tasks. Our trained network demonstrates accurate performance on such classification tasks when presented with 5 s examples of music obtained by simple transformations of the raw audio waveform. A particularly interesting example is the spectral representation of music obtained by application of a logarithmically spaced filter bank, mirroring the early stages of auditory signal transduction in mammals. The most successful representation of music to facilitate discrimination was obtained via a random matrix transform (RMT). Networks based on logarithmic filter banks and RMT were able to correctly guess the one composer out of 31 possibilities in 68 and 84 percent of cases respectively.

Published
2017

8. Encoding innate ability through a genomic bottleneck.

Author

Shuvaev, Sergey, Lachi, Divyansha, Alexei Koulakov, and Zador, Anthony

Subjects
*MACHINE learning, *ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *NEURAL circuitry, *LEGAL judgments
Abstract

Animals are born with extensive innate behavioral capabilities, which arise from neural circuits encoded in the genome. However, the information capacity of the genome is orders of magnitude smaller than that needed to specify the connectivity of an arbitrary brain circuit, indicating that the rules encoding circuit formation must fit through a "genomic bottleneck" as they pass from one generation to the next. Here, we formulate the problem of innate behavioral capacity in the context of artificial neural networks in terms of lossy compression of the weight matrix. We find that several standard network architectures can be compressed by several orders of magnitude, yielding pretraining performance that can approach that of the fully trained network. Interestingly, for complex but not for simple test problems, the genomic bottleneck algorithm also captures essential features of the circuit, leading to enhanced transfer learning to novel tasks and datasets. Our results suggest that compressing a neural circuit through the genomic bottleneck serves as a regularizer, enabling evolution to select simple circuits that can be readily adapted to important real-world tasks. The genomic bottleneck also suggests how innate priors can complement conventional approaches to learning in designing algorithms for AI. [ABSTRACT FROM AUTHOR]

Published
2024
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9. The primacy model and the structure of olfactory space.

Author

Giaffar, Hamza, Shuvaev, Sergey, Rinberg, Dmitry, and Koulakov, Alexei A.

Subjects
*STIMULUS intensity, *FRUIT flies, *PREDICTION theory, *ABSOLUTE value, *GROUP identity, *OLFACTORY receptors
Abstract

Understanding sensory processing relies on the establishment of a consistent relationship between the stimulus space, its neural representation, and perceptual quality. In olfaction, the difficulty in establishing these links lies partly in the complexity of the underlying odor input space and perceptual responses. Based on the recently proposed primacy model for concentration invariant odor identity representation and a few assumptions, we have developed a theoretical framework for mapping the odor input space to the response properties of olfactory receptors. We analyze a geometrical structure containing odor representations in a multidimensional space of receptor affinities and describe its low-dimensional implementation, the primacy hull. We propose the implications of the primacy hull for the structure of feedforward connectivity in early olfactory networks. We test the predictions of our theory by comparing the existing receptor-ligand affinity and connectivity data obtained in the fruit fly olfactory system. We find that the Kenyon cells of the insect mushroom body integrate inputs from the high-affinity (primacy) sets of olfactory receptors in agreement with the primacy theory. Author summary: Sensory systems face the problem of computing stimulus identity that is invariant with respect to multiple stimulus features. In the olfactory system, odorant percepts often retain their identity despite substantial variations in the odorant concentration. How can olfactory networks robustly represent odorant identity despite variable stimulus intensity? In the nose, odorants are sensed by the odorant receptors (ORs), the specialized proteins that can be activated by the odorant molecules. In this study, we develop a theory for encoding concentration-invariant odor objects. We propose that the identities of a small group of the most sensitive ORs represent odorant identity in a concentration-invariant manner. We argue that, although absolute values of olfactory receptor responses may depend on concentration, their ranking remains invariant, leading to invariance in the membership of the most sensitive (primary) group. We call this form of representation of concentration invariant odorant identity the primacy coding model. We investigate the mathematical principles underlying the primacy coding model and test its predictions using connectivity and neuronal activations data from the fruit fly olfactory system. We find that neurons in the fly olfactory system integrate inputs from the high-affinity (primacy) sets of ORs in agreement with the primacy theory. [ABSTRACT FROM AUTHOR]

Published
2024
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10. Responsive luminescent lanthanide probes for biological applications

Author

Shuvaev, Sergey Viktorovich

Subjects
540
Abstract

Lanthanide-based complexes play a significant role in biological applications, spanning MRI contrast agents to molecular luminescent tags. Regardless of their application, these complexes should conform to general requirements, such as high stability against decomplexation at physiologically relevant conditions and sufficient solubility in water. Other more specific requirements may also apply, demanding a customised design of the ligand for a specific application. Emissive bio-responsive lanthanide complexes comprise a large and dynamically developing area, which possesses several intrinsic advantages over non-lanthanide analogues. Large Stokes’ shifts, long-lived excited states, ratiometric bands in the emission spectrum, strong cirularly-polarised signals are but a few to be named. These beneficial properties can be employed for efficient measurement of pH or determination of bioactive molecules both in vitro and in cellulo. For instance, europium complexes bearing sulphonamide arms showed reversible pH-response, producing noticeable changes in both the total emission and CPL spectra (Chapter 2). Other europium complexes possessing polarity-sensitive emission intensity were successfully used for detection of human serum albumin and α1-AGP – two the most abundant serum proteins – by following both total emission and CPL spectra, and these results are discussed in Chapter 3. Selective detection of biologically relevant anions needs specific probe design requirements. Even subtle changes in the structure of the ligand may lead to considerable changes in selectivity and affinity towards selected species. Such a correlation between structure and binding properties was exemplified in a series of europium complexes for the detection of nucleotides and zinc and led to the creation of probes spanning 5 orders of affinity constants. Furthermore, a nucleotide-specific induced CPL signal allowed monitoring the ratio between ADP and ATP – a parameter that characterises metabolic rates in mitochondria. These observations are thoroughly analysed in Chapter 4.

Published
2017

11. Network cloning using DNA barcodes

Author

Shuvaev, Sergey A., Başerdem, Batuhan, Zador, Anthony, and Koulakov, Alexei A.

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

The ability to measure or manipulate network connectivity is the main challenge in the field of connectomics. Recently, a set of approaches has been developed that takes advantage of next generation DNA sequencing to scan connections between neurons into a set of DNA barcodes. Individual DNA sequences called markers represent single neurons, while pairs of markers, called barcodes contain information about connections. Here we propose a strategy for 'copying' or 'cloning' connectivity contained in barcodes into a clean slate tabula rasa network. We show that a one marker one cell (OMOC) rule, which forces all markers with the same sequence to condense into the same neuron, leads to fast and reliable formation of desired connectivity in a new network. We show that OMOC rule yields convergence in a number of steps given by a power law function of the network size. We thus propose that copying network connectivity from one network to another is theoretically possible., Comment: 5 pages, 3 figures

Published
2016

12. Collagen type I PET/MRI enables evaluation of treatment response in pancreatic cancer in pre-clinical and first-in-human translational studies.

Author

Esfahani, Shadi A., Hua Ma, Krishna, Shriya, Shuvaev, Sergey, Sabbagh, Mark, Deffler, Caitlin, Rotile, Nicholas, Weigand-Whittier, Jonah, Zhou, Iris Y., Catana, Ciprian, Catalano, Onofrio A., Ting, David T., Heidari, Pedram, Abston, Eric, Lanuti, Michael, Boland, Genevieve M., Pathak, Priyanka, Roberts, Hannah, Tanabe, Kenneth K., and Qadan, Motaz

Published
2024
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13. Abstract A036: Quantitative molecular imaging of pancreatic tumor fibrosis for evaluation of response to neoadjuvant therapy: Pre-clinical and first-in-human application of collagen PET/MRI

Author

Esfahani, Shadi A., primary, Ma, Hua, additional, Krishna, Shriya, additional, Shuvaev, Sergey, additional, Hajmirzaian, Arvin, additional, Zhou, Iris, additional, Catana, Ciprian, additional, Sojoodi, Mozhdeh, additional, Abston, Eric, additional, Ting, David, additional, Heidari, Pedram, additional, Lanuti, Michael, additional, Tanabe, Kenneth, additional, Qadan, Motaz, additional, de-Castillo, Carlos Fernandez, additional, Parikh, Aparna, additional, Weekes, Colin, additional, Hong, Theodore, additional, and Caravan, Peter, additional

Published
2024
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14. Simultaneous PET and molecular MR imaging of cardiopulmonary fibrosis in a mouse model of left ventricular dysfunction

Author

Moon, Brianna F., primary, Zhou, Iris Y., additional, Ning, Yingying, additional, Chen, Yin-Ching I., additional, Fur, Mariane Le, additional, Shuvaev, Sergey, additional, Akam, Eman A., additional, Ma, Hua, additional, Solsona, Cesar Molinos, additional, Weigand-Whittier, Jonah, additional, Rotile, Nicholas, additional, Hariri, Lida P., additional, Drummond, Matthew, additional, Boice, Avery T., additional, Zygmont, Samantha E., additional, Sharma, Yamini, additional, Warburton, Rod R., additional, Martin, Gregory L., additional, Blanton, Robert M., additional, Fanburg, Barry L., additional, Hill, Nicholas S., additional, Caravan, Peter, additional, and Penumatsa, Krishna C., additional

Published
2023
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18. Noninvasive Quantification of Radiation-Induced Lung Injury using a Targeted Molecular Imaging Probe

Author

Abston, Eric, primary, Zhou, Iris, additional, Saenger, Jonathan, additional, Shuvaev, Sergey, additional, Akam, Eman A, additional, Esfahani, Shadi, additional, Hariri, Lida, additional, Rotile, Nicholas, additional, Crowley, Elizabeth, additional, Montesi, Sydney, additional, Humblet, Valerie, additional, Arabasz, Grae, additional, Khandekar, Melin, additional, Catana, Ciprian, additional, Fintelmann, Florian, additional, Caravan, Peter, additional, and Lanuti, Michael, additional

Published
2023
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23. Neuromatch Academy: a 3-week, online summer school in computational neuroscience

Author

’t Hart, Bernard, primary, Achakulvisut, Titipat, additional, Adeyemi, Ayoade, additional, Akrami, Athena, additional, Alicea, Bradly, additional, Alonso-Andres, Alicia, additional, Alzate-Correa, Diego, additional, Ash, Arash, additional, Ballesteros, Jesus, additional, Balwani, Aishwarya, additional, Batty, Eleanor, additional, Beierholm, Ulrik, additional, Benjamin, Ari, additional, Bhalla, Upinder, additional, Blohm, Gunnar, additional, Blohm, Joachim, additional, Bonnen, Kathryn, additional, Brigham, Marco, additional, Brunton, Bingni, additional, Butler, John, additional, Caie, Brandon, additional, Gajic, N, additional, Chatterjee, Sharbatanu, additional, Chavlis, Spyridon, additional, Chen, Ruidong, additional, Cheng, You, additional, Chow, H.m., additional, Chua, Raymond, additional, Dai, Yunwei, additional, David, Isaac, additional, DeWitt, Eric, additional, Denis, Julien, additional, Dipani, Alish, additional, Dorschel, Arianna, additional, Drugowitsch, Jan, additional, Dwivedi, Kshitij, additional, Escola, Sean, additional, Fan, Haoxue, additional, Farhoodi, Roozbeh, additional, Fei, Yicheng, additional, Fiquet, Pierre-Étienne, additional, Fontolan, Lorenzo, additional, Forest, Jeremy, additional, Fujishima, Yuki, additional, Galbraith, Byron, additional, Galdamez, Mario, additional, Gao, Richard, additional, Gjorgjieva, Julijana, additional, Gonzalez, Alexander, additional, Gu, Qinglong, additional, Guo, Yueqi, additional, Guo, Ziyi, additional, Gupta, Pankaj, additional, Gurbuz, Busra, additional, Haimerl, Caroline, additional, Harrod, Jordan, additional, Hyafil, Alexandre, additional, Irani, Martin, additional, Jacobson, Daniel, additional, Johnson, Michelle, additional, Jones, Ilenna, additional, Karni, Gili, additional, Kass, Robert, additional, Kim, Hyosub, additional, Kist, Andreas, additional, Koene, Randal, additional, Kording, Konrad, additional, Krause, Matthew, additional, Kumar, Arvind, additional, Kühn, Norma, additional, Lc, Ray, additional, Laporte, Matthew, additional, Lee, Junseok, additional, Li, Songting, additional, Lin, Sikun, additional, Lin, Yang, additional, Liu, Shuze, additional, Liu, Tony, additional, Livezey, Jesse, additional, Lu, Linlin, additional, Macke, Jakob, additional, Mahaffy, Kelly, additional, Martins, A, additional, Martorell, Nicolás, additional, Martínez, Manolo, additional, Mattar, Marcelo, additional, Menendez, Jorge, additional, Miller, Kenneth, additional, Mineault, Patrick, additional, Mohammadi, Nosratullah, additional, Mohsenzadeh, Yalda, additional, Morgenroth, Elenor, additional, Morshedzadeh, Taha, additional, Mosberger, Alice, additional, Muliya, Madhuvanthi, additional, Mur, Marieke, additional, Murray, John, additional, Nd, Yashas, additional, Naud, Richard, additional, Nayak, Prakriti, additional, Oak, Anushka, additional, Castillo, Itzel, additional, Orouji, Seyedmehdi, additional, Otero-Millan, Jorge, additional, Pachitariu, Marius, additional, Pandey, Biraj, additional, Paredes, Renato, additional, Parent, Jesse, additional, Park, Il, additional, Peters, Megan, additional, Pitkow, Xaq, additional, Poirazi, Panayiota, additional, Popal, Haroon, additional, Prabhakaran, Sandhya, additional, Qiu, Tian, additional, Ragunathan, Srinidhi, additional, Rodriguez-Cruces, Raul, additional, Rolnick, David, additional, Sahoo, Ashish, additional, Salehinajafabadi, Saeed, additional, Savin, Cristina, additional, Saxena, Shreya, additional, Schrater, Paul, additional, Schroeder, Karen, additional, Schwarze, Alice, additional, Sedigh-Sarvestani, Madineh, additional, Sekhar, K, additional, Shadmehr, Reza, additional, Shanechi, Maryam, additional, Sharma, Siddhant, additional, Shea-Brown, Eric, additional, Shenoy, Krishna, additional, Shimabukuro, Carolina, additional, Shuvaev, Sergey, additional, Sin, Man, additional, Smith, Maurice, additional, Steinmetz, Nicholas, additional, Stosio, Karolina, additional, Straley, Elizabeth, additional, Strandquist, Gabrielle, additional, Stringer, Carsen, additional, Tomar, Rimjhim, additional, Tran, Ngoc, additional, Triantafillou, Sofia, additional, Udeigwe, Lawrence, additional, Valeriani, Davide, additional, Valton, Vincent, additional, Vaziri-Pashkam, Maryam, additional, Vincent, Peter, additional, Vishne, Gal, additional, Wallisch, Pascal, additional, Wang, Peiyuan, additional, Ward, Claire, additional, Waskom, Michael, additional, Wei, Kunlin, additional, Wu, Anqi, additional, Wu, Zhengwei, additional, Wyble, Brad, additional, Zhang, Lei, additional, Zysman, Daniel, additional, Uquillas, Federico, additional, and van Viegen, Tara, additional

Published
2022
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28. Chiral probes for α1-AGP reporting by species-specific induced circularly polarised luminescence† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c8sc00482j

Author

Shuvaev, Sergey, Suturina, Elizaveta A., Mason, Kevin, and Parker, David

Subjects
Chemistry
Abstract

Luminescence spectroscopy has been used to monitor the selective and reversible binding of pH sensitive, macrocyclic lanthanide complexes, [LnL1], to the serum protein α1-AGP, whose concentration can vary significantly in response to inflammatory processes., Luminescence spectroscopy has been used to monitor the selective and reversible binding of pH sensitive, macrocyclic lanthanide complexes, [LnL1], to the serum protein α1-AGP, whose concentration can vary significantly in response to inflammatory processes. On binding α1-AGP, a very strong induced circularly-polarised europium luminescence signal was observed that was of opposite sign for human and bovine variants of α1-AGP – reflecting the differences in the chiral environment of their drug-binding pockets. A mixture of [EuL1] and [TbL1] complexes allowed the ratiometric monitoring of α1-AGP levels in serum. Moreover, competitive displacement of [EuL1] from the protein by certain prescription drugs could be monitored, allowing the determination of drug binding constants. Reversible binding of the sulphonamide arm as a function of pH, led to a change of the coordination environment around the lanthanide ion, from twisted square antiprism (TSAP) to a square antiprismatic geometry (SAP), signalled by emission spectral changes and verified by detailed computations and the fitting of NMR pseudocontact shift data in the sulphonamide bound TSAP structure for the Dy and Eu examples. Such analyses allowed a full definition of the magnetic susceptibility tensor for [DyL1].

Published
2018

33. Peroxidase Sensitive Amplifiable Probe for Molecular Magnetic Resonance Imaging of Pulmonary Inflammation

Author

Rodríguez-Rodríguez, Aurora, primary, Shuvaev, Sergey, additional, Rotile, Nicholas, additional, Jones, Chloe M., additional, Probst, Clemens K., additional, Dos Santos Ferreira, Diego, additional, Graham-O′Regan, Katherine, additional, Boros, Eszter, additional, Knipe, Rachel S., additional, Griffith, Jason W., additional, Tager, Andrew M., additional, Bogdanov, Alexei, additional, and Caravan, Peter, additional

Published
2019
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40. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

Author

Newton, Adam J H, Seidenstein, Alexandra H, McDougal, Robert A, Cervera, Alberto, Huguet, Gemma, Seara, Tere, Haimerl, Caroline, Garcia, David, Torcini, Alessandro, Cossart, Rosa, Malvache, Arnaud, Skiker, Kaoutar, Maouene, Mounir, Ragognetti, Gianmarco, Lorusso, Letizia, Viggiano, Andrea, Marcelli, Angelo, Senatore, Rosa, Parziale, Antonio, Stramaglia, S., Pellicoro, M., Angelini, L., Amico, E., Aerts, H., Cortés, J., Laureys, S., Marinazzo, D., Bassez, I., Faes, L., Almgren, Hannes, Razi, Adeel, Steen, Frederik, Krebs, Ruth, Aerts, Hannelore, Kanari, Lida, Dlotko, Pawel, Scolamiero, Martina, Levi, Ran, Shillcock, Julian, Kock, Christiaan P, Hess, Kathryn, Markram, Henry, Ly, Cheng, Marsat, Gary, Gillespie, Tom, Sandström, Malin, Abrams, Mathew, Grethe, Jeffrey S, Martone, Maryann, Gernier, Robin, Solinas, Sergio, Rössert, Christian, Haelterman, Marc, Massar, Serge, Pasquale, Valentina, Pastore, Vito P, Martinoia, Sergio, Massobrio, Paolo, Capone, Cristiano, Colet, Núria, Vives, Maria V, Mattia, Maurizio, Almasi, Ali, Cloherty, Shaun L, Grayden, David B, Wong, Yan T, Ibbotson, Michael R, Meffin, Hamish, Prince, Luke Y, Atanasova, Krasimira, Mellor, Jack R, Mazzoni, Alberto, Rosa, Manuela, Carpaneto, Jacopo, Romito, Luigi M, Priori, Alberto, Micera, Silvestro, Migliore, Rosanna, Lupascu, Carmen A, Franchina, Francesco, Bologna, Luca L, Romani, Armando, Saray, Sára, Geit, Werner, Káli, Szabolcs, Thomson, Alex, Mercer, Audrey, Lange, Sigrun, Falck, Joanne, Muller, Eilif, Schürmann, Felix, Todorov, Dmitrii, Capps, Robert, Barnett, William, Molkov, Yaroslav, Devalle, Federico, Pazó, Diego, Montbrió, Ernest, Mochol, Gabriela, Azab, Habiba, Hayden, Benjamin Y, Bote, Rubén, Balasubramani, Pragathi P, Chakravarthy, Srinivasa V, Muddapu, Vignayanandam R, Gheorghiu, Medorian D, Mimica, Bartul, Withlock, Jonathan, Mureșan, Raul C, Zick, Jennifer L, Schultz, Kelsey, Blackman, Rachael K, Chafee, Matthew V, Netoff, Theoden I, Roberts, Nicholas, Nagaraj, Vivek, Lamperski, Andrew, Grado, Logan L, Johnson, Matthew D, Darrow, David P, Lonardoni, Davide, Amin, Hayder, Marco, Stefano, Maccione, Alessandro, Berdondini, Luca, Nieus, Thierry, Stimberg, Marcel, Goodman, Dan F M, Nowotny, Thomas, Koren, Veronika, Dragoi, Valentin, Obermayer, Klaus, Castro, Samy, Fernandez, Mariano, Deredy, Wael, Xu, Kesheng, Maidana, Jean P, Orio, Patricio, Chen, Weiliang, Hepburn, Iain, Casalegno, Francesco, Devresse, Adrien, Ovcharenko, Aleksandr, Pereira, Fernando, Delalondre, Fabien, Schutter, Erik, Bratby, Peter, Gallimore, Andrew R, Klingbeil, Guido, Zamora, Criseida, Zang, Yunliang, Crotty, Patrick, Palmerduca, Eric, Antonietti, Alberto, Casellato, Claudia, Erö, Csaba, Angelo, Egidio, Gewaltig, Marc-Oliver, Pedrocchi, Alessandra, Bytschok, Ilja, Dold, Dominik, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A, Shen, Hui-An, Surace, Simone C, Pfister, Jean-Pascal, Lefebvre, Baptiste, Marre, Olivier, Yger, Pierre, Papoutsi, Athanasia, Park, Jiyoung, Ash, Ryan, Smirnakis, Stelios, Poirazi, Panayiota, Felix, Richard A, Dimitrov, Alexander G, Portfors, Christine, Daun, Silvia, Toth, Tibor I, Szmek, Joanna, Kabbani, Nadine, Blackwel, Kim T, Moezzi, Bahar, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R, Hordacre, Brenton, McDonnell, Mark D, Iannella, Nicolangelo, Ridding, Michael C, Triesch, Jochen, Maex, Reinoud, Safaryan, Karen, Steuber, Volker, Tang, Rongxiang, Tang, Yi-Yuan, Verveyko, Darya V, Brazhe, Alexey R, Verisokin, Andrey Y, Postnov, Dmitry E, Günay, Cengiz, Panuccio, Gabriella, Giugliano, Michele, Prinz, Astrid A, Varona, Pablo, Rabinovich, Mikhail I, Denham, Jack, Ranner, Thomas, Cohen, Netta, Reva, Maria, Rebola, Nelson, Kirizs, Tekla, Nusser, Zoltan, DiGregorio, David, Mavritsaki, Eirini, Rentzelas, Panos, Ukani, Nikul H, Tomkins, Adam, Yeh, Chung-Heng, Bruning, Wesley, Fenichel, Allison L, Zhou, Yiyin, Huang, Yu-Chi, Florescu, Dorian, Ortiz, Carlos L, Richmond, Paul, Lo, Chung-Chuan, Coca, Daniel, Chiang, Ann-Shyn, Lazar, Aurel A, Creaser, Jennifer L, Lin, Congping, Ashwin, Peter, Brown, Jonathan T, Ridler, Thomas, Levenstein, Daniel, Watson, Brendon O, Buzsáki, György, Rinzel, John, Curtu, Rodica, Nguyen, Anh, Assadzadeh, Sahand, Robinson, Peter A, Leon, Paula, Forlim, Caroline G, Almeida, Lírio O B, Pinto, Reynaldo D, Rodríguez, Francisco B, Lareo, Ángel, Montero, Aaron, Mosqueiro, Thiago, Huerta, Ramon, Rodriguez, Francisco B, Changoluisa, Vinicio, Cordeiro, Vinícius L, Ceballos, César C, Kamiji, Nilton L, Roque, Antonio C, Lytton, William W, Knox, Andrew, Rosenthal, Joshua J C, Popovych, Svitlana, Liu, Liqing, Wang, Bin A, Tóth, Tibor I, Grefkes, Christian, Fink, Gereon R, Rosjat, Nils, Trujillo, Abraham, Espinal, Andres, Figueroa, Marco A, Aceves, Ivan, Gonzalez, Horacio, Zapotocky, Martin, Hoskovcová, Martina, Kopecká, Jana, Ulmanová, Olga, Růžička, Evžen, Gärtner, Matthias, Duvarci, Sevil, Roeper, Jochen, Schneider, Gaby, Albert, Stefan, Schmack, Katharina, Remme, Michiel, Schreiber, Susanne, Migliore, Michele, Antonel, Stefano M, Courcol, Jean-Denis, Çelikok, Sami U, López, Eva M, Şengör, Neslihan S, Elibol, Rahmi, Sengor, Neslihan S, Özdemir, Mustafa Y, Li, Tianyi, Arleo, Angelo, Sheynikhovich, Denis, Nakamura, Akihiro, Shimono, Masanori, Song, Youngjo, Park, Sol, Choi, Ilhwan, Jeong, Jaeseung, Shin, Hee-sup, Sadeh, Sadra, Gleeson, Padraig, Silver, R., Chatzikalymniou, Alexandra P, Skinner, Frances K, Rodriguez, Lazaro M, Sotero, Roberto C, Hertäg, Loreen, Mackwood, Owen, Sprekeler, Henning, Puhlmann, Steffen, Weber, Simon N, Higgins, David, Naumann, Laura B, Iyer, Ramakrisnan, Mihalas, Stefan, Ticcinelli, Valentina, Stankovski, Tomislav, McClintock, Peter V E, Stefanovska, Aneta, Janjić, Predrag, Solev, Dimitar, Seifert, Gerald, Kocarev, Ljupčo, Steinhäuser, Christian, Salmasi, Mehrdad, Glasauer, Stefan, Stemmler, Martin, Zhang, Danke, Zhang, Chi, Stepanyants, Armen, Goncharenko, Julia, Kros, Lieke, Davey, Neil, Zeeuw, Chris, Hoebeek, Freek, Sinha, Ankur, Adams, Roderick, Schmuker, Michael, Psarrou, Maria, Schilstra, Maria, Nielsen, Benjamin, Metzner, Christoph, Schweikard, Achim, Marttunen, Tuomo, Zurowski, Bartosz, Marinazzo, Daniele, Faes, Luca, Stramaglia, Sebastiano, Jordan, Henry O C, Stringer, Simon M, Dendek, Elżbieta, Suffczyński, Piotr, Tam, Nicoladie, Zouridakis, George, Pollonini, Luca, Asl, Mojtaba M, Valizadeh, Alireza, Tass, Peter A, Nold, Andreas, Fan, Wei, Konrad, Sara, Endle, Heiko, Vogt, Johannes, Tchumatchenko, Tatjana, Herpich, Juliane, Tetzlaff, Christian, Luboeinski, Jannik, Nachstedt, Timo, Ciba, Manuel, Bahmer, Andreas, Thielemann, Christiane, Kuebler, Eric S, Tauskela, Joseph S, Thivierge, Jean-Philippe, Bakker, Rembrandt, Amado, María, Evangelio, Marian, Clascá, Francisco, Tiesinga, Paul, Buckley, Christopher L, Toyoizumi, Taro, Dubreuil, Alexis M, Monasson, Rémi, Treves, Alessandro, Spalla, Davide, Rosay, Sophie, Kleberg, Florence I, Wong, Willy, Floriano, Bruno, Matsuo, Toshihiko, Uchida, Tetsuya, Dibenedetto, Domenica, Uludağ, Kâmil, Goodarzinick, Abdorreza, Schmidt, Maximilian, Hilgetag, Claus C, Diesmann, Markus, Albada, Sacha J, Fauth, Michael, Rossum, Mark, Sánchez, Manuel, Amaducci, Rodrigo, Muñiz, Carlos, Elices, Irene, Arroyo, David, Levi, Rafael, Cohen, Ben, Chow, Carson, Vattikuti, Shashaank, Bertolotti, Elena, Burioni, Raffaella, Volo, Matteo, Vezzani, Alessandro, Menzat, Bayar, Vogels, Tim P, Wagatsuma, Nobuhiko, Saha, Susmita, Kapoor, Reena, Kerr, Robert, Wagner, John, Molino, Luis C G, Yang, Guangyu R, Mejias, Jorge F, Wang, Xiao-Jing, Song, Hanbing, Goodliffe, Joseph, Luebke, Jennifer, Weaver, Christina M, Thomas, John, Sinha, Nishant, Shaju, Nikhita, Maszczyk, Tomasz, Jin, Jing, Cash, Sydney S, Dauwels, Justin, Westover, M., Karimian, Maryam, Moerel, Michelle, Weerd, Peter, Burwick, Thomas, Westra, Ronald L, Abeysuriya, Romesh, Hadida, Jonathan, Sotiropoulos, Stamatios, Jbabdi, Saad, Woolrich, Mark, Bensmail, Chama, Wrobel, Borys, Zhou, Xiaolong, Ji, Zilong, Liu, Xiao, Xia, Yan, Wu, Si, Wang, Xiao, Zhang, Mingsha, Ofer, Netanel, Shefi, Orit, Yaari, Gur, Carnevale, Ted, Majumdar, Amit, Sivagnanam, Subhashini, Yoshimoto, Kenneth, Smirnova, Elena Y, Amakhin, Dmitry V, Malkin, Sergey L, Zaitsev, Aleksey V, Chizhov, Anton V, Zaleshina, Margarita, Zaleshin, Alexander, Barranca, Victor J, Zhu, George, Skilling, Quinton M, Maruyama, Daniel, Ognjanovski, Nicolette, Aton, Sara J, Zochowski, Michal, Wu, Jiaxing, Aton, Sara, Rich, Scott, Booth, Victoria, Budak, Maral, Bernal, Salvador, Neymotin, Samuel A, Suter, Benjamin A, Shepherd, Gordon M G, Felton, Melvin A, Yu, Alfred B, Boothe, David L, Oie, Kelvin S, Franaszczuk, Piotr J, Shuvaev, Sergey A, Başerdem, Batuhan, Zador, Anthony, Koulakov, Alexei A, Madrona, Víctor J, Pereda, Ernesto, Mirasso, Claudio R, Canals, Santiago, Masoli, Stefano, Rongala, Udaya B, Spanne, Anton, Jorntell, Henrik, Oddo, Calogero M, Vartanov, Alexander V, Neklyudova, Anastasia K, Kozlovskiy, Stanislav A, Kiselnikov, Andrey A, Marakshina, Julia A, Teleńczuk, Maria, Teleńczuk, Bartosz, Destexhe, Alain, Kuokkanen, Paula T, Kraemer, Anna, McColgan, Thomas, Carr, Catherine E, Kempter, Richard, Newton, Adam J H, Seidenstein, Alexandra H, McDougal, Robert A, Cervera, Alberto, Huguet, Gemma, Seara, Tere, Haimerl, Caroline, Garcia, David, Torcini, Alessandro, Cossart, Rosa, Malvache, Arnaud, Skiker, Kaoutar, Maouene, Mounir, Ragognetti, Gianmarco, Lorusso, Letizia, Viggiano, Andrea, Marcelli, Angelo, Senatore, Rosa, Parziale, Antonio, Stramaglia, S., Pellicoro, M., Angelini, L., Amico, E., Aerts, H., Cortés, J., Laureys, S., Marinazzo, D., Bassez, I., Faes, L., Almgren, Hannes, Razi, Adeel, Steen, Frederik, Krebs, Ruth, Aerts, Hannelore, Kanari, Lida, Dlotko, Pawel, Scolamiero, Martina, Levi, Ran, Shillcock, Julian, Kock, Christiaan P, Hess, Kathryn, Markram, Henry, Ly, Cheng, Marsat, Gary, Gillespie, Tom, Sandström, Malin, Abrams, Mathew, Grethe, Jeffrey S, Martone, Maryann, Gernier, Robin, Solinas, Sergio, Rössert, Christian, Haelterman, Marc, Massar, Serge, Pasquale, Valentina, Pastore, Vito P, Martinoia, Sergio, Massobrio, Paolo, Capone, Cristiano, Colet, Núria, Vives, Maria V, Mattia, Maurizio, Almasi, Ali, Cloherty, Shaun L, Grayden, David B, Wong, Yan T, Ibbotson, Michael R, Meffin, Hamish, Prince, Luke Y, Atanasova, Krasimira, Mellor, Jack R, Mazzoni, Alberto, Rosa, Manuela, Carpaneto, Jacopo, Romito, Luigi M, Priori, Alberto, Micera, Silvestro, Migliore, Rosanna, Lupascu, Carmen A, Franchina, Francesco, Bologna, Luca L, Romani, Armando, Saray, Sára, Geit, Werner, Káli, Szabolcs, Thomson, Alex, Mercer, Audrey, Lange, Sigrun, Falck, Joanne, Muller, Eilif, Schürmann, Felix, Todorov, Dmitrii, Capps, Robert, Barnett, William, Molkov, Yaroslav, Devalle, Federico, Pazó, Diego, Montbrió, Ernest, Mochol, Gabriela, Azab, Habiba, Hayden, Benjamin Y, Bote, Rubén, Balasubramani, Pragathi P, Chakravarthy, Srinivasa V, Muddapu, Vignayanandam R, Gheorghiu, Medorian D, Mimica, Bartul, Withlock, Jonathan, Mureșan, Raul C, Zick, Jennifer L, Schultz, Kelsey, Blackman, Rachael K, Chafee, Matthew V, Netoff, Theoden I, Roberts, Nicholas, Nagaraj, Vivek, Lamperski, Andrew, Grado, Logan L, Johnson, Matthew D, Darrow, David P, Lonardoni, Davide, Amin, Hayder, Marco, Stefano, Maccione, Alessandro, Berdondini, Luca, Nieus, Thierry, Stimberg, Marcel, Goodman, Dan F M, Nowotny, Thomas, Koren, Veronika, Dragoi, Valentin, Obermayer, Klaus, Castro, Samy, Fernandez, Mariano, Deredy, Wael, Xu, Kesheng, Maidana, Jean P, Orio, Patricio, Chen, Weiliang, Hepburn, Iain, Casalegno, Francesco, Devresse, Adrien, Ovcharenko, Aleksandr, Pereira, Fernando, Delalondre, Fabien, Schutter, Erik, Bratby, Peter, Gallimore, Andrew R, Klingbeil, Guido, Zamora, Criseida, Zang, Yunliang, Crotty, Patrick, Palmerduca, Eric, Antonietti, Alberto, Casellato, Claudia, Erö, Csaba, Angelo, Egidio, Gewaltig, Marc-Oliver, Pedrocchi, Alessandra, Bytschok, Ilja, Dold, Dominik, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A, Shen, Hui-An, Surace, Simone C, Pfister, Jean-Pascal, Lefebvre, Baptiste, Marre, Olivier, Yger, Pierre, Papoutsi, Athanasia, Park, Jiyoung, Ash, Ryan, Smirnakis, Stelios, Poirazi, Panayiota, Felix, Richard A, Dimitrov, Alexander G, Portfors, Christine, Daun, Silvia, Toth, Tibor I, Szmek, Joanna, Kabbani, Nadine, Blackwel, Kim T, Moezzi, Bahar, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R, Hordacre, Brenton, McDonnell, Mark D, Iannella, Nicolangelo, Ridding, Michael C, Triesch, Jochen, Maex, Reinoud, Safaryan, Karen, Steuber, Volker, Tang, Rongxiang, Tang, Yi-Yuan, Verveyko, Darya V, Brazhe, Alexey R, Verisokin, Andrey Y, Postnov, Dmitry E, Günay, Cengiz, Panuccio, Gabriella, Giugliano, Michele, Prinz, Astrid A, Varona, Pablo, Rabinovich, Mikhail I, Denham, Jack, Ranner, Thomas, Cohen, Netta, Reva, Maria, Rebola, Nelson, Kirizs, Tekla, Nusser, Zoltan, DiGregorio, David, Mavritsaki, Eirini, Rentzelas, Panos, Ukani, Nikul H, Tomkins, Adam, Yeh, Chung-Heng, Bruning, Wesley, Fenichel, Allison L, Zhou, Yiyin, Huang, Yu-Chi, Florescu, Dorian, Ortiz, Carlos L, Richmond, Paul, Lo, Chung-Chuan, Coca, Daniel, Chiang, Ann-Shyn, Lazar, Aurel A, Creaser, Jennifer L, Lin, Congping, Ashwin, Peter, Brown, Jonathan T, Ridler, Thomas, Levenstein, Daniel, Watson, Brendon O, Buzsáki, György, Rinzel, John, Curtu, Rodica, Nguyen, Anh, Assadzadeh, Sahand, Robinson, Peter A, Leon, Paula, Forlim, Caroline G, Almeida, Lírio O B, Pinto, Reynaldo D, Rodríguez, Francisco B, Lareo, Ángel, Montero, Aaron, Mosqueiro, Thiago, Huerta, Ramon, Rodriguez, Francisco B, Changoluisa, Vinicio, Cordeiro, Vinícius L, Ceballos, César C, Kamiji, Nilton L, Roque, Antonio C, Lytton, William W, Knox, Andrew, Rosenthal, Joshua J C, Popovych, Svitlana, Liu, Liqing, Wang, Bin A, Tóth, Tibor I, Grefkes, Christian, Fink, Gereon R, Rosjat, Nils, Trujillo, Abraham, Espinal, Andres, Figueroa, Marco A, Aceves, Ivan, Gonzalez, Horacio, Zapotocky, Martin, Hoskovcová, Martina, Kopecká, Jana, Ulmanová, Olga, Růžička, Evžen, Gärtner, Matthias, Duvarci, Sevil, Roeper, Jochen, Schneider, Gaby, Albert, Stefan, Schmack, Katharina, Remme, Michiel, Schreiber, Susanne, Migliore, Michele, Antonel, Stefano M, Courcol, Jean-Denis, Çelikok, Sami U, López, Eva M, Şengör, Neslihan S, Elibol, Rahmi, Sengor, Neslihan S, Özdemir, Mustafa Y, Li, Tianyi, Arleo, Angelo, Sheynikhovich, Denis, Nakamura, Akihiro, Shimono, Masanori, Song, Youngjo, Park, Sol, Choi, Ilhwan, Jeong, Jaeseung, Shin, Hee-sup, Sadeh, Sadra, Gleeson, Padraig, Silver, R., Chatzikalymniou, Alexandra P, Skinner, Frances K, Rodriguez, Lazaro M, Sotero, Roberto C, Hertäg, Loreen, Mackwood, Owen, Sprekeler, Henning, Puhlmann, Steffen, Weber, Simon N, Higgins, David, Naumann, Laura B, Iyer, Ramakrisnan, Mihalas, Stefan, Ticcinelli, Valentina, Stankovski, Tomislav, McClintock, Peter V E, Stefanovska, Aneta, Janjić, Predrag, Solev, Dimitar, Seifert, Gerald, Kocarev, Ljupčo, Steinhäuser, Christian, Salmasi, Mehrdad, Glasauer, Stefan, Stemmler, Martin, Zhang, Danke, Zhang, Chi, Stepanyants, Armen, Goncharenko, Julia, Kros, Lieke, Davey, Neil, Zeeuw, Chris, Hoebeek, Freek, Sinha, Ankur, Adams, Roderick, Schmuker, Michael, Psarrou, Maria, Schilstra, Maria, Nielsen, Benjamin, Metzner, Christoph, Schweikard, Achim, Marttunen, Tuomo, Zurowski, Bartosz, Marinazzo, Daniele, Faes, Luca, Stramaglia, Sebastiano, Jordan, Henry O C, Stringer, Simon M, Dendek, Elżbieta, Suffczyński, Piotr, Tam, Nicoladie, Zouridakis, George, Pollonini, Luca, Asl, Mojtaba M, Valizadeh, Alireza, Tass, Peter A, Nold, Andreas, Fan, Wei, Konrad, Sara, Endle, Heiko, Vogt, Johannes, Tchumatchenko, Tatjana, Herpich, Juliane, Tetzlaff, Christian, Luboeinski, Jannik, Nachstedt, Timo, Ciba, Manuel, Bahmer, Andreas, Thielemann, Christiane, Kuebler, Eric S, Tauskela, Joseph S, Thivierge, Jean-Philippe, Bakker, Rembrandt, Amado, María, Evangelio, Marian, Clascá, Francisco, Tiesinga, Paul, Buckley, Christopher L, Toyoizumi, Taro, Dubreuil, Alexis M, Monasson, Rémi, Treves, Alessandro, Spalla, Davide, Rosay, Sophie, Kleberg, Florence I, Wong, Willy, Floriano, Bruno, Matsuo, Toshihiko, Uchida, Tetsuya, Dibenedetto, Domenica, Uludağ, Kâmil, Goodarzinick, Abdorreza, Schmidt, Maximilian, Hilgetag, Claus C, Diesmann, Markus, Albada, Sacha J, Fauth, Michael, Rossum, Mark, Sánchez, Manuel, Amaducci, Rodrigo, Muñiz, Carlos, Elices, Irene, Arroyo, David, Levi, Rafael, Cohen, Ben, Chow, Carson, Vattikuti, Shashaank, Bertolotti, Elena, Burioni, Raffaella, Volo, Matteo, Vezzani, Alessandro, Menzat, Bayar, Vogels, Tim P, Wagatsuma, Nobuhiko, Saha, Susmita, Kapoor, Reena, Kerr, Robert, Wagner, John, Molino, Luis C G, Yang, Guangyu R, Mejias, Jorge F, Wang, Xiao-Jing, Song, Hanbing, Goodliffe, Joseph, Luebke, Jennifer, Weaver, Christina M, Thomas, John, Sinha, Nishant, Shaju, Nikhita, Maszczyk, Tomasz, Jin, Jing, Cash, Sydney S, Dauwels, Justin, Westover, M., Karimian, Maryam, Moerel, Michelle, Weerd, Peter, Burwick, Thomas, Westra, Ronald L, Abeysuriya, Romesh, Hadida, Jonathan, Sotiropoulos, Stamatios, Jbabdi, Saad, Woolrich, Mark, Bensmail, Chama, Wrobel, Borys, Zhou, Xiaolong, Ji, Zilong, Liu, Xiao, Xia, Yan, Wu, Si, Wang, Xiao, Zhang, Mingsha, Ofer, Netanel, Shefi, Orit, Yaari, Gur, Carnevale, Ted, Majumdar, Amit, Sivagnanam, Subhashini, Yoshimoto, Kenneth, Smirnova, Elena Y, Amakhin, Dmitry V, Malkin, Sergey L, Zaitsev, Aleksey V, Chizhov, Anton V, Zaleshina, Margarita, Zaleshin, Alexander, Barranca, Victor J, Zhu, George, Skilling, Quinton M, Maruyama, Daniel, Ognjanovski, Nicolette, Aton, Sara J, Zochowski, Michal, Wu, Jiaxing, Aton, Sara, Rich, Scott, Booth, Victoria, Budak, Maral, Bernal, Salvador, Neymotin, Samuel A, Suter, Benjamin A, Shepherd, Gordon M G, Felton, Melvin A, Yu, Alfred B, Boothe, David L, Oie, Kelvin S, Franaszczuk, Piotr J, Shuvaev, Sergey A, Başerdem, Batuhan, Zador, Anthony, Koulakov, Alexei A, Madrona, Víctor J, Pereda, Ernesto, Mirasso, Claudio R, Canals, Santiago, Masoli, Stefano, Rongala, Udaya B, Spanne, Anton, Jorntell, Henrik, Oddo, Calogero M, Vartanov, Alexander V, Neklyudova, Anastasia K, Kozlovskiy, Stanislav A, Kiselnikov, Andrey A, Marakshina, Julia A, Teleńczuk, Maria, Teleńczuk, Bartosz, Destexhe, Alain, Kuokkanen, Paula T, Kraemer, Anna, McColgan, Thomas, Carr, Catherine E, and Kempter, Richard

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2017
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41. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Author

Newton, Adam J. H., primary, Seidenstein, Alexandra H., additional, McDougal, Robert A., additional, Pérez-Cervera, Alberto, additional, Huguet, Gemma, additional, M-Seara, Tere, additional, Haimerl, Caroline, additional, Angulo-Garcia, David, additional, Torcini, Alessandro, additional, Cossart, Rosa, additional, Malvache, Arnaud, additional, Skiker, Kaoutar, additional, Maouene, Mounir, additional, Ragognetti, Gianmarco, additional, Lorusso, Letizia, additional, Viggiano, Andrea, additional, Marcelli, Angelo, additional, Senatore, Rosa, additional, Parziale, Antonio, additional, Stramaglia, S., additional, Pellicoro, M., additional, Angelini, L., additional, Amico, E., additional, Aerts, H., additional, Cortés, J., additional, Laureys, S., additional, Marinazzo, D., additional, Bassez, I., additional, Faes, L., additional, Almgren, Hannes, additional, Razi, Adeel, additional, Van de Steen, Frederik, additional, Krebs, Ruth, additional, Aerts, Hannelore, additional, Kanari, Lida, additional, Dlotko, Pawel, additional, Scolamiero, Martina, additional, Levi, Ran, additional, Shillcock, Julian, additional, de Kock, Christiaan P.J., additional, Hess, Kathryn, additional, Markram, Henry, additional, Ly, Cheng, additional, Marsat, Gary, additional, Gillespie, Tom, additional, Sandström, Malin, additional, Abrams, Mathew, additional, Grethe, Jeffrey S., additional, Martone, Maryann, additional, De Gernier, Robin, additional, Solinas, Sergio, additional, Rössert, Christian, additional, Haelterman, Marc, additional, Massar, Serge, additional, Pasquale, Valentina, additional, Pastore, Vito Paolo, additional, Martinoia, Sergio, additional, Massobrio, Paolo, additional, Capone, Cristiano, additional, Tort-Colet, Núria, additional, Sanchez-Vives, Maria V., additional, Mattia, Maurizio, additional, Almasi, Ali, additional, Cloherty, Shaun L., additional, Grayden, David B., additional, Wong, Yan T., additional, Ibbotson, Michael R., additional, Meffin, Hamish, additional, Prince, Luke Y., additional, Tsaneva-Atanasova, Krasimira, additional, Mellor, Jack R., additional, Mazzoni, Alberto, additional, Rosa, Manuela, additional, Carpaneto, Jacopo, additional, Romito, Luigi M., additional, Priori, Alberto, additional, Micera, Silvestro, additional, Migliore, Rosanna, additional, Lupascu, Carmen Alina, additional, Franchina, Francesco, additional, Bologna, Luca Leonardo, additional, Romani, Armando, additional, Saray, Sára, additional, Van Geit, Werner, additional, Káli, Szabolcs, additional, Thomson, Alex, additional, Mercer, Audrey, additional, Lange, Sigrun, additional, Falck, Joanne, additional, Muller, Eilif, additional, Schürmann, Felix, additional, Todorov, Dmitrii, additional, Capps, Robert, additional, Barnett, William, additional, Molkov, Yaroslav, additional, Devalle, Federico, additional, Pazó, Diego, additional, Montbrió, Ernest, additional, Mochol, Gabriela, additional, Azab, Habiba, additional, Hayden, Benjamin Y., additional, Moreno-Bote, Rubén, additional, Balasubramani, Pragathi Priyadharsini, additional, Chakravarthy, Srinivasa V., additional, Muddapu, Vignayanandam R., additional, Gheorghiu, Medorian D., additional, Mimica, Bartul, additional, Withlock, Jonathan, additional, Mureșan, Raul C., additional, Zick, Jennifer L., additional, Schultz, Kelsey, additional, Blackman, Rachael K., additional, Chafee, Matthew V., additional, Netoff, Theoden I., additional, Roberts, Nicholas, additional, Nagaraj, Vivek, additional, Lamperski, Andrew, additional, Grado, Logan L., additional, Johnson, Matthew D., additional, Darrow, David P., additional, Lonardoni, Davide, additional, Amin, Hayder, additional, Di Marco, Stefano, additional, Maccione, Alessandro, additional, Berdondini, Luca, additional, Nieus, Thierry, additional, Stimberg, Marcel, additional, Goodman, Dan F. M., additional, Nowotny, Thomas, additional, Koren, Veronika, additional, Dragoi, Valentin, additional, Obermayer, Klaus, additional, Castro, Samy, additional, Fernandez, Mariano, additional, El-Deredy, Wael, additional, Xu, Kesheng, additional, Maidana, Jean Paul, additional, Orio, Patricio, additional, Chen, Weiliang, additional, Hepburn, Iain, additional, Casalegno, Francesco, additional, Devresse, Adrien, additional, Ovcharenko, Aleksandr, additional, Pereira, Fernando, additional, Delalondre, Fabien, additional, De Schutter, Erik, additional, Bratby, Peter, additional, Gallimore, Andrew R., additional, Klingbeil, Guido, additional, Zamora, Criseida, additional, Zang, Yunliang, additional, Crotty, Patrick, additional, Palmerduca, Eric, additional, Antonietti, Alberto, additional, Casellato, Claudia, additional, Erö, Csaba, additional, D’Angelo, Egidio, additional, Gewaltig, Marc-Oliver, additional, Pedrocchi, Alessandra, additional, Bytschok, Ilja, additional, Dold, Dominik, additional, Schemmel, Johannes, additional, Meier, Karlheinz, additional, Petrovici, Mihai A., additional, Shen, Hui-An, additional, Surace, Simone Carlo, additional, Pfister, Jean-Pascal, additional, Lefebvre, Baptiste, additional, Marre, Olivier, additional, Yger, Pierre, additional, Papoutsi, Athanasia, additional, Park, Jiyoung, additional, Ash, Ryan, additional, Smirnakis, Stelios, additional, Poirazi, Panayiota, additional, Felix, Richard A., additional, Dimitrov, Alexander G., additional, Portfors, Christine, additional, Daun, Silvia, additional, Toth, Tibor I., additional, Jędrzejewska-Szmek, Joanna, additional, Kabbani, Nadine, additional, Blackwel, Kim T., additional, Moezzi, Bahar, additional, Schaworonkow, Natalie, additional, Plogmacher, Lukas, additional, Goldsworthy, Mitchell R., additional, Hordacre, Brenton, additional, McDonnell, Mark D., additional, Iannella, Nicolangelo, additional, Ridding, Michael C., additional, Triesch, Jochen, additional, Maex, Reinoud, additional, Safaryan, Karen, additional, Steuber, Volker, additional, Tang, Rongxiang, additional, Tang, Yi-Yuan, additional, Verveyko, Darya V., additional, Brazhe, Alexey R., additional, Verisokin, Andrey Yu, additional, Postnov, Dmitry E., additional, Günay, Cengiz, additional, Panuccio, Gabriella, additional, Giugliano, Michele, additional, Prinz, Astrid A., additional, Varona, Pablo, additional, Rabinovich, Mikhail I., additional, Denham, Jack, additional, Ranner, Thomas, additional, Cohen, Netta, additional, Reva, Maria, additional, Rebola, Nelson, additional, Kirizs, Tekla, additional, Nusser, Zoltan, additional, DiGregorio, David, additional, Mavritsaki, Eirini, additional, Rentzelas, Panos, additional, Ukani, Nikul H., additional, Tomkins, Adam, additional, Yeh, Chung-Heng, additional, Bruning, Wesley, additional, Fenichel, Allison L., additional, Zhou, Yiyin, additional, Huang, Yu-Chi, additional, Florescu, Dorian, additional, Ortiz, Carlos Luna, additional, Richmond, Paul, additional, Lo, Chung-Chuan, additional, Coca, Daniel, additional, Chiang, Ann-Shyn, additional, Lazar, Aurel A., additional, Creaser, Jennifer L., additional, Lin, Congping, additional, Ashwin, Peter, additional, Brown, Jonathan T., additional, Ridler, Thomas, additional, Levenstein, Daniel, additional, Watson, Brendon O., additional, Buzsáki, György, additional, Rinzel, John, additional, Curtu, Rodica, additional, Nguyen, Anh, additional, Assadzadeh, Sahand, additional, Robinson, Peter A., additional, Sanz-Leon, Paula, additional, Forlim, Caroline G., additional, de Almeida, Lírio O. 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2017
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