Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
Optimal Sequence Memory in Driven Random Networks
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Derives exact correlation statistics for nonlinear RNNs in the large-N limit with Gaussian quenched disorder using path integrals, generalizing linear results and adding 1/N corrections.
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From Chaos to Synchrony in Recurrent Excitatory-Inhibitory Networks with Target-Specific Inhibition
Target-specific inhibition in E-I recurrent networks creates three dynamical classes: quiescent or asynchronous chaos in balanced cases, and persistent activity with either synchronous chaos or coherent oscillations in excitation-dominated cases, where oscillations suppress chaos.
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Statistics of correlations in nonlinear recurrent neural networks
Derives exact correlation statistics for nonlinear RNNs in the large-N limit with Gaussian quenched disorder using path integrals, generalizing linear results and adding 1/N corrections.