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Brain-Like Approximate Reasoning
2008
unpublished
Humans can easily recognize objects as complex as faces even if they have not seen them in such conditions before. We would like to find out computational basis of this ability. As an example of our approach we use the neurophysiological data from the visual system. In the retina and thalamus simple light spots are classified, in V1oriented lines and in V4 -simple shapes. The feedforward (FF) pathways by extracting above attributes from the object form hypotheses. The feedback (FB) pathways
doi:10.14236/ewic/vocs2008.2
fatcat:fscn7giqgjegzjzxr6qot5onri