DocumentCode :
2516620
Title :
Using CNN to unravel space-time processing in the vertebrate retina
Author :
Werblin, Frank ; Jacobs, Adam
Author_Institution :
Div. of Neurobiol., California Univ., Berkeley, CA, USA
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
33
Lastpage :
40
Abstract :
The vertebrate retina performs a number of highly complex transformations in space and time. Because we have not had adequate tools for analyzing these functions, little is presently known about the mechanisms underlying these transformations. CNN provides, for the first time, an analytical framework within which these transformations can be predicted, measured and analyzed. While conventional analyses have relied on studies of only single cells CNN allows us to think about, manipulate generate and study patterns of activity involving large populations of cells. Thus, CNN promises to unravel some of the important mechanisms by which the retina abstracts and encodes the visual message in space and time
Keywords :
cellular neural nets; eye; image processing; CNN; image processing; inner retina; retinal processing; space-time processing; vertebrate retina; Abstracts; Biological cells; Broadcasting; Cellular neural networks; Jacobian matrices; Motion detection; Neurons; Photoreceptors; Retina; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
Type :
conf
DOI :
10.1109/CNNA.1994.381683
Filename :
381683
Link To Document :
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