Editorial: State-dependent brain computation - Archive ouverte HAL Access content directly
Journal Articles Frontiers in Computational Neuroscience Year : 2015

Editorial: State-dependent brain computation

(1, 2, 3, 4) , (5) , (6) , (7, 8)
1
2
3
4
5
6
7
8

Abstract

The brain is a self-organizing system, which has evolved such that neuronal responses and related behavior are continuously adapted with respect to the external and internal context. This powerful capability is achieved through the modulation of neuronal interactions depending on the history of previously processed information. In particular, the brain updates its connections as it learns successful versus unsuccessful strategies. The resulting connectivity changes, together with stochastic processes (i.e., noise) influence ongoing neuronal dynamics. The role of such state-dependent fluctuations may be one of the fundamental computational properties of the brain, being pervasively present in human behavior and leaving a distinctive fingerprint in neuroscience data. This development is captured by the present Frontiers Research Topic, " State-Dependent Brain Computation.
Fichier principal
Vignette du fichier
ptpmcrender.pdf (187.14 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01202086 , version 1 (18-09-2015)

Identifiers

Cite

Petra Ritter, Viktor Jirsa, Anthony R. Mcintosh, Michael Breakspear. Editorial: State-dependent brain computation. Frontiers in Computational Neuroscience, 2015, ⟨10.3389/fncom.2015.00077⟩. ⟨hal-01202086⟩
72 View
143 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More