Face identification using one spike per neuron: resistance to image degradations
نویسندگان
چکیده
منابع مشابه
Face identification using one spike per neuron: resistance to image degradations
The short response latencies of face selective neurons in the inferotemporal cortex impose major constraints on models of visual processing. It appears that visual information must essentially propagate in a feed-forward fashion with most neurons only having time to fire one spike. We hypothesize that flashed stimuli can be encoded by the order of firing of ganglion cells in the retina and prop...
متن کاملFace Identi®cation Using One Spike per Neuron: Resistance to Image Degradations
The short response latencies of face selective neurons in the inferotemporal cortex impose major constraints on models of visual processing. It appears that visual information must essentially propagate in a feed-forward fashion with most neurons only having time to ®re one spike. We hypothesize that ¯ashed stimuli can be encoded by the order of ®ring of ganglion cells in the retina and propose...
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The speed with which neurones in the monkey temporal lobe can respond selectively to the presence of a face implies that processing may be possible using only one spike per neurone, a finding that is problematic for conventional rate coding models that need at least two spikes to estimate interspike interval. One way of avoiding this problem uses the fact that integrate-and-fire neurones will t...
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1. Introduction In 1989, I argued that the response latency of face-selective visual responses in high order visual areas such as the primate inferotemporal cortex poses severe problems for almost all models of visual processing that rely on iterative processing (Thorpe & Imbert, 1989). Such neurones start firing 80-100 ms after stimulus onset, which leaves only about 10 ms for processing at ea...
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SpikeNet is an image-processing system that uses very large-scale networks of asynchronously -ring neurons. The latest version allows very e0cient object identi-cation in real-time using a video input, and although this speci-c implementation is designed to run on standard computer hardware, there are a number of clear implications for computational neuroscience. Speci-cally, SpikeNet demonstra...
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ژورنال
عنوان ژورنال: Neural Networks
سال: 2001
ISSN: 0893-6080
DOI: 10.1016/s0893-6080(01)00049-1