Extended surround based neuromorphically implementable model of human visual system

被引：2

作者：

Sarkar, S ^{[1
]}

Ghosh, K ^{[1
]}

Bhaumik, K ^{[1
]}

机构：

[1] Saha Inst Nucl Phys, Microelect Div, Kolkata 700064, W Bengal, India

来源：

2005 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING, PROCEEDINGS | 2005年

关键词：

neuromorphic engineering; retina; human visual system; resitive network;

D O I：

10.1109/ICISIP.2005.1529498

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A neuromophically implementable model of the retinal ganglion cells has been presented. The model incorporates contribution from both the inner and outer plexiform layer of the retina, taking recent findings from neurophysiology into consideration. It has been shown that such a system is capable of computing zero-crossings of images using fourth or higher order derivatives, a fact which may have neuromorphic implication in generating a derivative analyzer mimetic of the Human Visual system as a whole.

引用

页码：458 / 462

页数：5

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