Optimal synchrony state for maximal information transmission

Neuroreport
Yuguo YuTai Sing Lee

Abstract

This work investigated the roles of spontaneous synchronized rhythmic oscillations in information processing in a globally coupled neural network. We found that in the encoding of input aperiodic signals, there exists a range of optimal synchronous states in the network, where the information transmission rate and coding efficiency of the network are maximized. Our results indicate that it is not the weaker or stronger but an appropriate synchronous state may be of more functional significance in sensory encoding.

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Citations

Sep 24, 2010·Journal of Computational Neuroscience·Huan WangWerner Hemmert
Mar 26, 2011·Proceedings of the National Academy of Sciences of the United States of America·Sonya GiridharNathaniel N Urban
Feb 27, 2010·Neuroreport·Mahmut OzerEtem Koklukaya
Jul 8, 2008·Schizophrenia Research·Gary FlynnLeanne M Williams
Jul 18, 2006·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·S Rampp, H Stefan
Oct 12, 2013·Epilepsy & Behavior : E&B·Elaine FoleyStefano Seri

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