Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data

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A network model with a learning rule inferred from data recorded in the primate cortex exhibits attractor dynamics with nearly optimal storage capacity. A transition to chaotic dynamics is found at strong coupling, leading to highly irregular activity but stable memory.

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