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

C. Soto-Treviño, K. A. Thoroughman, E. Marder, L. F. Abbott

Research output: Contribution to journalArticlepeer-review

72 Scopus citations


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.

Original languageEnglish
Pages (from-to)297-303
Number of pages7
JournalNature neuroscience
Issue number3
StatePublished - 2001


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