Self-assembly of oscillatory neurons and networks

Eve Marder, Jorge Golowasch, Kathryn S. Richards, Cristina Soto-Treviňo, William L. Miller, L. F. Abbott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The activity of rhythmic central pattern generating circuits depends on both the intrinsic properties of neurons and their synaptic interactions. We describe experiments on the development of the stomatogastric nervous system and on its recovery from removal of modulatory inputs that suggest that activity may be important in regulating the intrinsic and synaptic properties of these networks. Our computational studies argue that simple activity-dependent rules in which activity governs the regulation of intrinsic neuronal properties and the strength of inhibitory connections may be sufficient to account for the selfassembly of rhythmic networks.

Original languageEnglish (US)
Title of host publicationFoundations and Tools for Neural Modeling - International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999, Proceedings
EditorsJosé Mira, Juan V. Sánchez-Andrés
PublisherSpringer Verlag
Pages1-11
Number of pages11
ISBN (Print)3540660690, 9783540660699
DOIs
StatePublished - Jan 1 1999
Externally publishedYes
Event5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999 - Alicante, Spain
Duration: Jun 2 1999Jun 4 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1606
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1999
CountrySpain
CityAlicante
Period6/2/996/4/99

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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