Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-03

AUTHORS

Cristina Soto-Treviño, Kurt A. Thoroughman, Eve Marder, L. F. Abbott

ABSTRACT

The faithful production of rhythms by many neural circuits depends critically on the strengths of inhibitory synaptic connections. We propose a model in which the strengths of inhibitory synapses in a central pattern-generating circuit are subject to activity-dependent plasticity. The strength of each synapse is modified as a function of the global activity of the postsynaptic neuron and by correlated activity of the pre- and postsynaptic neurons. This allows the self-assembly, from random initial synaptic strengths, of two cells into reciprocal oscillation and three cells into a rhythmic triphasic motor pattern. This self-assembly illustrates that complex oscillatory circuits that depend on multiple inhibitory synaptic connections can be tuned via simple activity-dependent rules. More... »

PAGES

297-303

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/85147

DOI

http://dx.doi.org/10.1038/85147

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041891110

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11224547


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