Representation of Time-Series by a Self-Similar Set in a Model of Hippocampal CA1

摘要

Because episodic memory includes a time series of events, an underlying dynamics for the formation of episodic memory is considered to employ a mech-anfsm of encoding sequences of events. The "Cantor coding" hypothesis in hippocampal CA1 has been proposed, which provides a scheme for encoding temporal sequences of events. Here, in order for investigating the Cantor coding in detail, we constructed a model for the CA1 network which consists of conductancebased model neurons. It was assumed that the CA3 outputs temporal sequences of spatial patterns to CA1. It was shown that the output patterns of CA1 were hierarchically clustered in a self-similar manner according to the similarity of input time series. The dependency of the efficacy of encoding on the input time interval and its robustness against noise was investigated.