Probabilistic spiking neuronal nets - Neuromathematics for the computer era - Archive ouverte HAL
Preprints, Working Papers, ... Year : 2021

Probabilistic spiking neuronal nets - Neuromathematics for the computer era

Abstract

This book presents and studies a class of stochastic models for biological neural nets. A biological neural net is a system with a huge number of interacting components, the neurons. The activity of each neuron is represented by a point process, namely, the successive times at which the neurons emit an action potential, also called a spike. It is generally considered that the spiking activity is the way the system encodes and transmits information.
Fichier principal
Vignette du fichier
book-GLP-20210412.pdf (1.84 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03196369 , version 1 (12-04-2021)

Identifiers

  • HAL Id : hal-03196369 , version 1

Cite

Antonio Galves, Eva Löcherbach, Christophe Pouzat. Probabilistic spiking neuronal nets - Neuromathematics for the computer era. 2021. ⟨hal-03196369⟩
718 View
307 Download

Share

More