Propagation of Firing Rate in a Feed-Forward Neuronal Network

Sentao Wang, Wei Wang, and Feng Liu
Phys. Rev. Lett. 96, 018103 – Published 5 January 2006

Abstract

Propagation of the firing rate and synchronous firings in a 10-layer feed-forward neuronal network are studied. When neurons in layer 1 are subject to white noise, synchrony can be built up in deep layers and the firing rate can be propagated. A network with 6 layers is found to be enough for such behavior. A periodic signal with frequencies of 30–80 Hz can be selectively transmitted through the network. These abilities in information processing due to synchrony can be modulated by noise and the operating mode of neurons, and our results are relevant to experimental findings.

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  • Received 16 April 2004

DOI:https://doi.org/10.1103/PhysRevLett.96.018103

©2006 American Physical Society

Authors & Affiliations

Sentao Wang1, Wei Wang1,2,*, and Feng Liu1

  • 1National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China
  • 2Interdisciplinary Center of Theoretical Studies, Chinese Academy of Sciences, Beijing 100080, China

  • *Electronic address: wangwei@nju.edu.cn

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Vol. 96, Iss. 1 — 13 January 2006

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