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Updated: Aug 11, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
Propagation of firing rate in a feed-forward neuronal network
Sentao Wang1, Wei Wang, Feng Liu
1National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China.
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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