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ISSN:2164-6457 (print)
ISSN:2164-6473 (online)
Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain

Email: miguel.sanjuan@urjc.es

Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email: aluo@siue.edu

Selective Propagation of Pulse Packets in Feedforward Neuronal Networks by Including Resonance Pair

Journal of Applied Nonlinear Dynamics 13(4) (2024) 823-833 | DOI:10.5890/JAND.2024.12.014

Yu-Qian Chen$^{1}$, Hao Si$^{1}$, Xiao-Juan Sun$^{1,2}$

$^1$ School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

$^2$ Key Laboratory of Mathematics and Information Networks (Beijing University of Posts and Telecommunica- tions), Ministry of Education, China

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Abstract

It has been shown that both periodic pulse packets and single pulse packet can be propagated in feedforward neuronal networks by including resonance pair. Based on these results, we further study the selective propagation of pulse packets in such feedforward neuronal networks. The obtained results show that periodic pulse packets can be propagated selectively when their periods match the network frequency, which can be controlled by background input, connection strength, and intra-layer connection probability. The relationship between these control parameters and network frequencies suggests that neuronal networks may adaptively change their states by modulating some parameters in order to selectively propagate signals.

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