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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.)

Enhancing Weak Signal Transmission Through a Feedforward Network

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Author(s):
Liang, Xiaoming [1] ; Zhao, Liang [1] ; Liu, Zonghua [2, 3]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Inst Math & Comp Sci, BR-13560970 Sao Carlos, SP - Brazil
[2] E China Normal Univ, Inst Theoret Phys, Shanghai 200062 - Peoples R China
[3] E China Normal Univ, Dept Phys, Shanghai 200062 - Peoples R China
Total Affiliations: 3
Document type: Journal article
Source: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS; v. 23, n. 9, p. 1506-1512, SEP 2012.
Web of Science Citations: 4
Abstract

The ability to transmit and amplify weak signals is fundamental to signal processing of artificial devices in engineering. Using a multilayer feedforward network of coupled double-well oscillators as well as Fitzhugh-Nagumo oscillators, we here investigate the conditions under which a weak signal received by the first layer can be transmitted through the network with or without amplitude attenuation. We find that the coupling strength and the nodes' states of the first layer act as two-state switches, which determine whether the transmission is significantly enhanced or exponentially decreased. We hope this finding is useful for designing artificial signal amplifiers. (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
FAPESP's process: 11/03631-6 - Collective behavior of neurons in complex networks
Grantee:Zhao Liang
Support type: Research Grants - Visiting Researcher Grant - International