Presentation 2002/1/21
Negative Resistance Influence on Neural Networks
Koji NAKAJIMA, Yoshihiro HAYAKAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Many models of neural cells and networks have been proposed and investigated. It is an important characteristic to have an ability of excitation for neurons. A normal neuron, which, however, seldom shows spontaneous excitations, is ordinarily in a resting state. And it fires depending on inputs from other neurons and external stimulations. It seems to be a good condition for the neurons which are in the critical state to be able to fire. The condition is also considered to have many rolls for the functions of neural networks. It is an elementary assumption to have two states resting and excitation for neurons in the past network models. And hence, it seems few discussins have been presented what rolls the neuro in the critical state has on the network actions. In this paper, we present the novel model (Inverse Delayed Mode1) to represent neurons in the critical state, and discuss the fundamental characteristics of the ID model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neural Networks / Negative Resistance / BVP model / Hysteresis Neuron
Paper # NLP2001-90(2002-01)
Date of Issue

Conference Information
Committee NLP
Conference Date 2002/1/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Negative Resistance Influence on Neural Networks
Sub Title (in English)
Keyword(1) Neural Networks
Keyword(2) Negative Resistance
Keyword(3) BVP model
Keyword(4) Hysteresis Neuron
1st Author's Name Koji NAKAJIMA
1st Author's Affiliation Laboratory for Electronic Intelligent Systems Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Yoshihiro HAYAKAWA
2nd Author's Affiliation Laboratory for Electronic Intelligent Systems Research Institute of Electrical Communication, Tohoku University
Date 2002/1/21
Paper # NLP2001-90(2002-01)
Volume (vol) vol.101
Number (no) 613
Page pp.pp.-
#Pages 8
Date of Issue