Mechanism for propagation of rate signals through a 10-layer feedforward neuronal network
Li Jie(李捷)a)b),Yu Wan-Qing(于婉卿)a), Xu Ding(徐定)a), Liu Feng(刘锋)a)†,andWang Wei(王炜)a)
a National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China; b State Key Laboratory of Pharmaceutical Biotechnology and School of Life, Nanjing University, Nanjing 210093, China
Abstract Using numerical simulations, we explore the mechanism for propagation of rate signals through a 10-layer feedforward network composed of Hodgkin--Huxley (HH) neurons with sparse connectivity. When white noise is afferent to the input layer, neuronal firing becomes progressively more synchronous in successive layers and synchrony is well developed in deeper layers owing to the feedforward connections between neighboring layers. The synchrony ensures the successful propagation of rate signals through the network when the synaptic conductance is weak. As the synaptic time constant $\tau_{\rm syn}$ varies, coherence resonance is observed in the network activity due to the intrinsic property of HH neurons. This makes the output firing rate single-peaked as a function of $\tau_{\rm syn}$, suggesting that the signal propagation can be modulated by the synaptic time constant. These results are consistent with experimental results and advance our understanding of how information is processed in feedforward networks.
Received: 17 August 2008
Revised: 05 March 2009
Accepted manuscript online:
Fund: Project supported by the National
Natural Science Foundation of China (Grant No 10614028), the
National Key Basic Research Program of China (Grant No
2007CB814806), and Program for New Century Excellent Talents in
University of the Ministry of Education o
Cite this article:
Li Jie(李捷),Yu Wan-Qing(于婉卿), Xu Ding(徐定), Liu Feng(刘锋),andWang Wei(王炜) Mechanism for propagation of rate signals through a 10-layer feedforward neuronal network 2009 Chin. Phys. B 18 5560
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