A self-organizing model of place cells with grid-structured receptive fields

被引：1

作者：

Oshiro N. ^{[1
]}

Kurata K. ^{[1
]}

Yamamoto T. ^{[1
]}

机构：

[1] Department of Mechanical Engineering, Faculty of Engineering, University of the Ryukyus, Nishihara, Okinawa 903-0213

来源：

Artificial Life and Robotics | 2007年 / 11卷 / 1期

关键词：

Anti-Hebbian synapse; Grid cell; Hierarchical structure; Self-organization; VQ;

D O I：

10.1007/s10015-006-0398-4

中图分类号：

学科分类号：

摘要：

In this article, we propose a new information separation model consisting of two vector quantization (VQ) layers, the superior layer and the inferior. The inferior VQ layer receives inhibitory input from the superior via anti-Hebbian synapses, which forces the winner on the inferior layer to be distributed independently of that on the superior. Supplied with input vectors carrying 2D positional information, the inferior layer can self-organize place-cell-like units with a grid-structured receptive field which shows a remarkable resemblance to that of grid cells" found recently in the entorhinal cortex of a rat. © ISAROB 2007."

引用

页码：48 / 51

页数：3

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