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A state-dependent mean-field formalism to model different activity states in conductance based networks of spiking neurons
Cristiano Capone, Matteo di Volo, Alberto Romagnoni, Maurizio Mattia, Alain Destexhe
doi: https://doi.org/10.1101/565127
Cristiano Capone
1UNIC-CNRS, Gif-Sur-Yvette, France
4Istituto Superiore di Sanitá, Rome, Italy
6INFN, sezione di Roma, Italy
Matteo di Volo
1UNIC-CNRS, Gif-Sur-Yvette, France
5Department of Integrative and Computational Neuroscience (ICN), Paris-Saclay Institute of Neuroscience (NeuroPSI), Centre National de la Recherche Scientifique (CNRS) 91198 Gif-sur-Yvette, France
Alberto Romagnoni
2Centre de recherche sur l’inflammation UMR 1149, Inserm - Université Paris Diderot - 75018 Paris, France
3Data Team, Département d’informatique de l’ENS, École normale supérieure, CNRS, PSL Research University, 75005 Paris France
Maurizio Mattia
4Istituto Superiore di Sanitá, Rome, Italy
Alain Destexhe
1UNIC-CNRS, Gif-Sur-Yvette, France
5Department of Integrative and Computational Neuroscience (ICN), Paris-Saclay Institute of Neuroscience (NeuroPSI), Centre National de la Recherche Scientifique (CNRS) 91198 Gif-sur-Yvette, France
Article usage
Posted March 01, 2019.
A state-dependent mean-field formalism to model different activity states in conductance based networks of spiking neurons
Cristiano Capone, Matteo di Volo, Alberto Romagnoni, Maurizio Mattia, Alain Destexhe
bioRxiv 565127; doi: https://doi.org/10.1101/565127
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