Literature DB >> 6518179

Ring neural network qua a generator of rhythmic oscillation with period control mechanism.

K Tsutsumi, H Matsumoto.   

Abstract

For the ring neural network to function as a generator of rhythmic oscillation, mechanisms are required by which rhythmic oscillation is generated and maintained and then its period controlled. This paper demonstrates by simulation that those mechanisms can be actualized by employing a synaptic modification algorithm and by applying inputs from the outside to excitatory and inhibitory cells. When the constants in the synaptic modification algorithm are fixed, it is possible to select two modes, that is, the modification mode and the non-modification mode, using the excitatory input level to excitatory cells alone. This property solves the problem of the re-modification caused by the dispersion of AIDs (average impulse densities) with the application of the excitatory synchronous input to inhibitory cells.

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Year:  1984        PMID: 6518179     DOI: 10.1007/bf00346139

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

1.  Improved neuronal models for studying neural networks.

Authors:  R B Stein; K V Leung; D Mangeron; M N Oğuztöreli
Journal:  Kybernetik       Date:  1974-05-31

2.  Analysis and simulation of networks of mutually inhibiting neurons.

Authors:  I Morishita; A Yajima
Journal:  Kybernetik       Date:  1972-10

3.  A two compartment model of the stepping generator: analysis of the roles of a stage-setter and a rhythm generator.

Authors:  K Kawahara; S Mori
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

4.  A synaptic modification algorithm in consideration of the generation of rhythmic oscillation in a ring neural network.

Authors:  K Tsutsumi; H Matsumoto
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

5.  Simulation of learning processes in neuronal networks of the cerebellum.

Authors:  D S Melkonian; H H Mkrtchian; V V Fanardjian
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

6.  Generation of a locomotory rhythm by a neural network with reccurrent cyclic inhibition.

Authors:  W O Friesen; G S Stent
Journal:  Biol Cybern       Date:  1977-12-16       Impact factor: 2.086

  6 in total
  2 in total

1.  Mechanisms of frequency and pattern control in the neural rhythm generators.

Authors:  K Matsuoka
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

2.  A group-theoretic approach to rings of coupled biological oscillators.

Authors:  J J Collins; I Stewart
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

  2 in total

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