The Computational Model of Entorhinal Cortex

被引：0

作者：

Yu, Naigong ^{[1
]}

Wang, Lin ^{[1
]}

Chen, Huanzhao ^{[1
]}

机构：

[1] Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing 100124, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2013年

关键词：

entorhinal cortex; hippocampus; grid cells; head-direction cells; PATH-INTEGRATION; HEAD DIRECTION; GRID CELLS; OSCILLATORY INTERFERENCE; SPATIAL MAP; VELOCITY; RAT; REPRESENTATION; SPIKING; PHASE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The entorhinal cortex (EC) plays a pivotal role for spatial representation and navigation in rat. Understanding how information is processed in the entorhinal cortex is essential to help us know the self-motion-based navigation. This article introduces the connection of entorhinal cortex and hippocampus, main cells in entorhinal cortex and their interactions, then put forward one model of the entorhinal cortex. The structure of this model is consistent with head direction cells and grid cells in entorhinal cortex, simulating grid cells firing fields very well.

引用

页码：80 / 85

页数：6

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