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Your search keyword '"Irene Bernava"' showing total 4 results
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4 results on '"Irene Bernava"'

1. Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse

Author

Cristiano Capone, Chiara De Luca, Giulia De Bonis, Robin Gutzen, Irene Bernava, Elena Pastorelli, Francesco Simula, Cosimo Lupo, Leonardo Tonielli, Francesco Resta, Anna Letizia Allegra Mascaro, Francesco Pavone, Michael Denker, and Pier Stanislao Paolucci

Subjects
Biology (General), QH301-705.5
Abstract

A modelling approach based on high-resolution in-vivo recordings in mouse brain, reproduces features of the non-stationary and non-linear dynamics, including cortical waves.

Published
2023
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3. Hierarchical Optimal Sampling (HOS): a tool for managing and manipulating wide-field imaging datasets - presentation at the Course of International School of Brain Cells and Circuits 'Camillo Golgi' on 'Modelling the Brain'

Author

Chiara De Luca, Irene Bernava, Giulia De Bonis, Cosimo Lupo, Francesco Simula, Francesco Resta, Elena Montagni, Anna Letizia Allegra Mascaro, Francesco Saverio Pavone, and Pier Stanislao Paolucci

Subjects
Wide-field Imaging, Spatial Resolution, Signal-to-Noise Ratio, Data Capability, Analysis Pipeline, Algorithm, Software Tool
Abstract

Presentation on Hierarchical Optimal Sampling: a tool for managing and manipulating wide-field imaging datasets. Powerful recording techniques and increasing anatomical knowledge provided by atlases allow studying the brain at a new level with unprecedented spatial resolution as that achieved with wide-field calcium imaging data. One of the the main issues related to the increase of the spatial resolution is to find the optimal condition which allows to obtain an appropriate signal-to-noise ratio for each channel, relative to the phenomenon of interest. Hierarchical Optimal Sampling (HOS) provides a data-driven inhomogeneous gridding of the field of view with the optimal spatial resolution that preserves and emphasizes the majority of the information from the high number of native signal sources.

Published
2022
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4. Incremental Awake-NREM-REM Learning Cycles: Cognitive and Energetic Effects in a Multi-area Thalamo-Cortical Spiking Model

Author

Chiara De Luca, Leonardo Tonielli, Bruno Golosio, Gianmarco Tiddia, Irene Bernava, Cristiano Capone, Davide Cipollini, Giulia De Bonis, Cosimo Lupo, Elena Pastorelli, Francesco Simula, and Pier Stanislao Paolucci

Subjects
education, Awake-NREM-REM cycles, Spiking Models, Classification task, Thalamo-cortical network, Apical Amplification-Drive-Isolation
Abstract

Flash talk presented at the workshop "Brain Activity across Scales and Species: Analysis of Experiments and Simulations"

Published
2022
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