Modeling orientation selectivity using a neuromorphic multi-chip system

被引：0

作者：

Chicca, Elisabetta ^{[1
]}

Lichtsteiner, Patrick ^{[1
]}

Delbruck, Tobias ^{[1
]}

Indiveri, Giacomo ^{[1
]}

Douglas, Rodney J. ^{[1
]}

机构：

[1] Univ ETH Zurich, Inst Neuroinformat, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland

来源：

2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The growing interest in pulse-mode processing by neural networks is encouraging the development of hardware implementations of massively parallel, distributed networks of Integrate-and-Fire (I&F) neurons. We have developed a reconfigurable multi-chip neuronal system for modeling feature selectivity and applied it to oriented visual stimuli. Our system comprises a temporally differentiating imager and a VLSI competitive network. of neurons which use an asynchronous Address Event Representation (AER) for communication. Here we describe the overall system, and present experimental data demonstrating the effect of recurrent connectivity on the pulse-based orientation selectivity.

引用

页码：1235 / +

页数：2

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