A computationally efficient abstraction of long-term potentiation

[摘要] A computational abstraction of long-term potentiation (LTP) is proposed. The abstraction captures key temporal and cooperative properties of LTP, and also lends itself to rapid computation. The abstraction is used to simulate the recruitment of binding-detector cells in the dentate gyrus (DG). The simulation results are used to validate a quantitative analysis of binding-detector cell recruitment in DG. The analysis shows that (i) a large number of binding-detector cells would be recruited in response to entorhinal cortex activity and (ii) cells recruited for distinct bindings would exhibit very low cross-talk. These results help in understanding the neural basis of episodic memory. (C) 2002 Elsevier Science B.V. All rights reserved.

[发布日期] 2002-06-01

[效力级别]  Proceedings Paper

[关键词] long-term potentiation;hippocampus;binding detection;dentate gyrus;episodic memory