Published March 27, 2014
| Version v1
Conference paper
Spike train statistics: from mathematical models to software to experiments
- Creators
- Cessac, Bruno
- Others:
- Mathematical and Computational Neuroscience (NEUROMATHCOMP) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (JAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- ANR-10-INTB-0204,KEOpS,Algorithmes pour la modélisation du système visuel: de la vision naturelle aux applications numériques.(2010)
- European Project: 600847,EC:FP7:ICT,FP7-ICT-2011-9,RENVISION(2013)
- European Project: 227747,EC:FP7:ERC,ERC-2008-AdG,NERVI(2009)
- European Project: 318723,EC:FP7:ICT,FP7-ICT-2011-8,MATHEMACS(2012)
- European Project: 269921,EC:FP7:ICT,FP7-ICT-2009-6,BRAINSCALES(2011)
Description
Recent advances in multi-electrodes array acquisition has made it possible torecord the activity of up to several hundreds of neurons at the same time andto register their collective spiking activity. This opens up new perspectivesin understanding how a neuronal network encodes the response to a stimulus, andwhat a spike train tells up about the network structure and nonlinear dynamics.For this, one has to develop statistical models properly handling thespatio-temporal aspects of spike trains, including memory effects. In thistalk, I will review several such statistical models, including Maximum EntropyModels, Generalized Linear Model or neuromimetic models dealing with theiradvantages, limits, and relations.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01095746
- URN
- urn:oai:HAL:hal-01095746v1
- Origin repository
- UNICA