Representation of Time-Series by a Self-Similar Set in a Model of Hippocampal CA1
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.
Hippocampus Cantor coding Iterated function system
Yutaka Yamaguti Shigeru Kuroda Ichiro Tsuda
Research Institute for Electronic Science, Hokkaido University, Sapporo 001-0020, Hokkaido,Japan Research Center for Integrative Mathematics, Hokkaido University, Sapporo 001-0020,Hokkaido, Japan
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
97-102
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）