The investigation of chemical coupling in a HR neuron model with reconfigurable implementations

Korkmaz N., Ozturk I., KILIÇ R.

NONLINEAR DYNAMICS, vol.86, no.3, pp.1841-1854, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 86 Issue: 3
  • Publication Date: 2016
  • Doi Number: 10.1007/s11071-016-2996-6
  • Journal Name: NONLINEAR DYNAMICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1841-1854
  • Keywords: Hindmarsh-Rose neuron model, Synchronization, Chemical coupling, FPAA, FPGA, Central patten generators (CPGs), HINDMARSH-ROSE NEURONS, EXTERNAL ELECTRICAL-STIMULATION, FITZHUGH-NAGUMO NEURONS, SYNCHRONIZATION ANALYSIS, SYNCHRONOUS BEHAVIOR, VISUAL-CORTEX, NETWORK, STABILITY, RESPONSES, HARDWARE
  • Kayseri University Affiliated: No

Abstract

Although there are a lot of studies on realization of electrical coupling in HR neuron model, the investigation of chemical coupling with hardware implementations is limited because of implementation complexities. In this paper, it is aimed to present alternative analog and digital hardware solutions for investigating the chemical coupling in the HR neuron model. In order to implement the chemical coupled HR neuronal system on a reconfigurable digital platform, chemical coupling function is modified, and the stability control of the new modified chemical coupling function is checked by using the standard deviation method. Simple artificial network structure using two chemical coupled HR neurons reminds of the small part of the stomatogastric ganglion central pattern generator (CPG) circuit of a lobster. Thus, a simple CPG structure is also realized electronically and asynchronous behaviors between the chemical coupled neurons in this CPG are emulated successfully by using these programmable analog and digital devices.