title: Transmission of neural activity in a feedforward network.
abstract: In this work, the enhancement of coherence resonance of firings in a 10-layer feedforward neuronal network with sparse couplings is found when there is noise input to each layer. Periodic signals with frequency 30-80 Hz are found to be well transmitted though the network, and such a frequency sensitivity can be modulated by the noise intensity and is different in different layers. When a random pulse-like signal is input to the neurons of the first layer, the signal can be well read out from the population rates in an optimal range of noise intensity. This ability decreases as the layer index increases.
authors.affiliation: National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China.
authors.forename: Sentao
authors.initials: S
authors.lastname: Wang
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D009622:Noise; D009435:Synaptic Transmission / Q000502:physiology*; D013997:Time Factors