4.7 Article

Investigation of dynamical behaviors of neurons driven by memristive synapse

Journal

CHAOS SOLITONS & FRACTALS
Volume 108, Issue -, Pages 15-24

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2018.01.017

Keywords

Synapse; Electrical activity; Memristor; Bifurcation

Funding

  1. National Natural Science Foundation of China [11765011]
  2. National Natural Science Foundation of China [11765011]

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Synapse is an important bridge for receiving and encoding signals, and the description for synapse current is critical for further signal processing. This paper investigates the dynamical characteristic in isolated neuron and chain neuronal networks with memristive autapse or synapses, respectively. Autapse plays important role in modulating the electrical activities, and thus the information encoding is enhanced. Within the improved neuron model, memristor is used to map the modulation of synapse current. Within an isolated new neuron model with memory, the modes in electrical activities can be controlled by the synapse current completely. Bifurcation analysis is carried out and mode transition is discussed. Furthermore, the modulation of synapse current on chain network is investigated, and the dependence of wave propagation on intensity of synapse is discussed. The diversity in synapse current can suppress the synchronization approach on the network. (C) 2018 Elsevier Ltd. All rights reserved.

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