Journal
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
Volume 19, Issue 10, Pages 3660-3670Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cnsns.2014.03.010
Keywords
Feedforward network; FitzHugh-Nagumo neuron; Heterogeneity; Stochastic resonance
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Funding
- National Natural Science Foundation of China [61172009, 61104032, 61302002]
- Hong Kong Polytechnic University
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Effects of noises and some other network properties on the weak signal propagation are studied systematically in feedforward acupuncture networks (FFN) based on FitzHugh-Nagumo neuron model. It is found that noises with medium intensity can enhance signal propagation and this effect can be further increased by the feedforward network structure. Resonant properties in the noisy network can also be altered by several network parameters, such as heterogeneity, synapse features, and feedback connections. These results may also provide a novel potential explanation for the propagation of acupuncture signal. (C) 2014 Elsevier B.V. All rights reserved.
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