The Gabor function extracts the maximum information from input local signals

被引：18

作者：

Okajima, K ^{[1
]}

机构：

[1] NEC Corp Ltd, Fundamental Res Labs, Exploratory Res Lab, Tsukuba, Ibaraki 305, Japan

来源：

NEURAL NETWORKS | 1998年 / 11卷 / 03期

关键词：

Gabor function; information; Infomax; simple cell; receptive field; uncertainty relation;

D O I：

10.1016/S0893-6080(98)00008-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The receptive fields of simple cells in the visual cortex are well approximated by Gabor functions. This paper shows that the Gabor functions are derived as solutions for a certain mutual-information maximization problem. This means that, under rather general assumptions, the Gabor function can extract the maximum information from input local signals. This suggests that the receptive fields of simple cells are optimally designed from an information theoretic viewpoint. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：435 / 439

页数：5

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