Reverse engineering of the visual system using networks of spikingneurons
Thorpe, S.J.; Delorme, A.; Van Rullen, R.; Paquier, W.
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Volume 4, Issue , 2000 Page(s):405 - 408 vol.4
Digital Object Identifier 10.1109/ISCAS.2000.858774
Summary:Recent research has shown that the speed of image processing
achieved by the human visual system is incompatible with conventional
neural network approaches that use standard coding schemes based on
firing rate. An alternative is to use networks of asynchronously firing
spiking neurons and use the order of firing across a population of
neurons as a code. In this paper we summarize results that demonstrate a
number of advantages of such coding schemes: (1) they allow very
efficient transmission of information, (2) they are intrinsically
invariant to variations in stimulus intensity and contrast, (3) they can
be used in very large scale processing architectures to solve difficult
problems including categorization of objects in natural scenes, and (4)
they are particularly suited for implementation in low-cost
multi-processor hardware
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