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.
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This research was supported by MH 46742, NS 07292 and the Sloan and Keck Foundations.
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Soto-Treviño, C., Thoroughman, K., Marder, E. et al. Activity-dependent modification of inhibitory synapses in models of rhythmic neural networks. Nat Neurosci 4, 297–303 (2001). https://doi.org/10.1038/85147
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DOI: https://doi.org/10.1038/85147
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