FPGA implementation of motifs-based neuronal network and synchronization analysis

DOI10.1016/J.PHYSA.2016.01.052zbMath1400.92017OpenAlexW2300665246MaRDI QIDQ1619415

Zechen Zhu, Haitao Yu, Bin Deng, Shuangming Yang, Jiang Wang, Xi-Le Wei

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2016.01.052

zbMATH Keywords

motifsynchronizationFPGAsmall-world network

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Synchronization of solutions to ordinary differential equations (34D06)

Related Items (1)

The dynamical analysis of modified two-compartment neuron model and FPGA implementation

Uses Software

• Brain Connectivity Toolbox

Cites Work

• How the self-coupled neuron can affect the chaotic synchronization of network
• Motif-synchronization: a new method for analysis of dynamic brain networks with EEG
• Delay-induced synchronization transitions in small-world neuronal networks with hybrid electrical and chemical synapses
• Complex networks: structure and dynamics
• Chaotic synchronization and control in nonlinear-coupled Hindmarsh--Rose neural systems
• Analysis of remote synchronization in complex networks
• The Structure and Function of Complex Networks
• Chaotic phase synchronization in a modular neuronal network of small-world subnetworks

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