Abstract : This paper describes some preliminary results of a research program for characterizing the statistics of spikes trains for a variety of commonly used neuron models in the presence of stochastic noise and deterministic input. The main angle of attack of the problem is through the use of stochastic calculus and ways of representing (local)martingales as Brownianmotions by changing the time scale
https://hal.inria.fr/inria-00084905
Contributeur : Jonathan Touboul
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Soumis le : mercredi 24 octobre 2007 - 11:21:01
Dernière modification le : vendredi 25 mai 2018 - 12:02:04
Document(s) archivé(s) le : lundi 22 octobre 2012 - 14:30:45
Olivier Faugeras, Théodore Papadopoulo, Jonathan Touboul, Denis Talay, Etienne Tanré, et al.. The Statistics Of Spikes Trains For Some Simple Types Of Neuron Models. [Research Report] RR-5950, INRIA. 2007, pp.15. 〈inria-00084905v4〉
