神经形态工程学
人工智能
计算机科学
计算机视觉
神经科学
心理学
人工神经网络
作者
Giacomo Indiveri,Rodney J. Douglas
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2000-05-19
卷期号:288 (5469): 1189-1190
被引量:129
标识
DOI:10.1126/science.288.5469.1189
摘要
Vision is one of the most useful sensory functions, but the real-time processing of the continuous, high-dimensional input signals provided by vision sensors is a major challenge in robot design. Conventional digital vision sensors tend to have excessive power consumption, size, and cost for useful applications. In this TechView, Indiveri and Douglas discuss an alternative strategy, namely neuromorphic vision sensors that are based on biological vision systems. In these sensors, specialized sensory processing functions inspired by biological systems such as fly eyes are integrated in parallel, asynchronous circuits that respond in real time. These sensors offer significant advantages over conventional vision sensors.
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