Modeling selective attention using a neuromorphic analog VLSI device

被引:57
作者
Indiveri, G [1 ]
机构
[1] Univ Zurich, ETH Zurich, Inst Neuroinformat, CH-8006 Zurich, Switzerland
关键词
D O I
10.1162/089976600300014755
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Attentional mechanisms are required to overcome the problem of flooding a limited processing capacity system with information. They are present in biological sensory systems and can be a useful engineering tool for artificial visual systems. In this article we present a hardware model of a selective attention mechanism implemented on a very large-scale integration (VLSI) chip, using analog neuromorphic circuits. The chip exploits a spike-based representation to receive, process, and transmit signals. It can be used as a transceiver module for building multichip neuromorphic vision systems. We describe the circuits that carry out the main processing stages of the selective attention mechanism and provide experimental data for each circuit. We demonstrate the expected behavior of the model at the system level by stimulating the chip with both artificially generated control signals and signals obtained from a saliency may, computed from an image containing several salient features.
引用
收藏
页码:2857 / 2880
页数:24
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