Balanced input allows optimal encoding in a stochastic binary neural network model: an analytical study.

ABSTRACT: Recent neurophysiological experiments have demonstrated a remarkable effect of attention on the underlying neural activity that suggests for the first time that information encoding is indeed actively influenced by attention. Single cell recordings show that attention reduces both the neural variability and correlations in the attended condition with respect to the non-attended one. This reduction of variability and redundancy enhances the information associated with the detection and further processing of the attended stimulus. Beyond the attentional paradigm, the local activity in a neural circuit can be modulated in a number of ways, leading to the general question of understanding how the activity of such circuits is sensitive to these relatively small modulations. Here, using an analy

SUBMITTER: Deco G 

PROVIDER: S-EPMC3281140 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature