We explore the behavior of richly connected inhibitory neural networks under param- eter changes that correspond to weakening of synaptic efficacies between network units, and show that transitions form irregular to periodic dynamics are common in such systems. The weakening of these connections leads to a reduction in the number of units that effectively dirve the dynamics and thus to simpler behav- ior. We hypothesize that the multiple interconnecting loops of the brain's mo- tor circuitry, which involve many inhibitory connections, exhibit such transitions.
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