Entrainment of a spiking neural network model with reciprocal inhibition to a periodic input

• ACHI Kazumi

  Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Tokushima

• NAGASHINO Hirofumi

  Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Tokushima

• KINOUCHI Yohsuke

  Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Tokushima

Bibliographic Information

Other Title

• パルス発生型相互抑制神経回路モデルの周期的外力への引き込み

Abstract

In multifrequency coodinated rhythmic movements in humans, the frequency of voluntary rhythm is entrained by periodic external force so that the frequency ratios of the voluntary rhytm to the external force are rational numbers in low order. We produse a conceptual model in the neural network level that generates the entrainment of rhythmic finger movements to a periodic input in which the frequency ratios of its rhythm to the the input are rational numbers in low order. The model is a reciprocal inhibition neural network composed of spiking neurons The ranges of input intensity and period of some periodic solutions are obtained theoretically.

Journal

• IEICE technical report. ME and bio cybernetics

  IEICE technical report. ME and bio cybernetics 97 (215), 107-112, 1997-07-26

  The Institute of Electronics, Information and Communication Engineers

Keywords

• coordinated rhythmic movement
• entrainment
• neural network model
• reciprocal inhibition coupling

Details

• CRID: 1571980077338580096
• NII Article ID: 110003286778
• NII Book ID: AN1001320X
• Web Site: https://search.jamas.or.jp/link/ui/1998032931
• Text Lang: ja
• Data Source:
  • CiNii Articles