Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory

Authors:
José Manuel Ferrández de Vicente;Markus Bongard;Francisco García de Quirós;Jose A. Bolea;ngel Eduardo Fernández
Affiliations:
-;-;-;-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

Citing 2
Cited 0

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IWANN '97 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Biological and Artificial Computation: From Neuroscience to Technology

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Abstract

Information Theory is used for analyzing the neural code of retinal ganglion cells. This approximation may quantify the amount of information transmitted by the whole population, versus single cells. The redundancy inherent in the code may be determined by obtaining the information bits of increasing cells datasets and by analyzing the relation between the joint information compared with the addition the information achieved by aisle cells. The results support the view that redundancy may play a crucial feature in visual information processing.