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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Gating-signal propagation by a feed-forward neural motif

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Author(s):
Liang, Xiaoming [1] ; Yanchuk, Serhiy [2] ; Zhao, Liang [3]
Total Authors: 3
Affiliation:
[1] Jiangsu Normal Univ, Sch Phys & Elect Engn, Xuzhou 221116 - Peoples R China
[2] Humboldt Univ, Inst Math, D-10099 Berlin - Germany
[3] Univ Sao Paulo, Inst Math & Comp Sci, BR-13560970 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Physical Review E; v. 88, n. 1 JUL 24 2013.
Web of Science Citations: 4
Abstract

We study the signal propagation in a feed-forward motif consisting of three bistable neurons: Two input neurons receive input signals and the third output neuron generates the output. We find that a weak input signal can be propagated from the input neurons to the output neuron without amplitude attenuation. We further reveal that the initial states of the input neurons and the coupling strength act as signal gates and determine whether the propagation is enhanced or not. We also investigate the effect of the input signal frequency on enhanced signal propagation. (AU)

FAPESP's process: 11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications
Grantee:Elbert Einstein Nehrer Macau
Support type: Research Projects - Thematic Grants