VLSI implementation of cortical visual motion detection using an analog neural computer

被引：0
|
作者：
EtienneCummings, R
VanderSpiegel, J
Takahashi, N
Apsel, A
Mueller, P
机构：
来源：
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE | 1997年 / 9卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Two dimensional image motion detection neural networks have been implemented using a general purpose analog neural computer. The neural circuits perform spatiotemporal feature extraction based on the cortical motion detection model of Adelson and Bergen. The neural computer provides the neurons, synapses and synaptic time-constants required to realize the model in VLSI hardware. Results show that visual motion estimation can be implemented with simple sum-and-threshold neural hardware with temporal computational capabilities. The neural circuits compute general 2D visual motion in real-time.
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页码：685 / 691
页数：7
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