Decoding the Population Responses of Retinal Ganglions Cells Using Information Theory

Authors:
José Manuel Ferrández de Vicente;Markus Bongard;Francisco García de Quirós;Jose Angel Bolea;Josef Ammermüller;Richard A. Normann;Eduardo Fernández
Affiliations:
-;-;-;-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

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Spikes: exploring the neural code

Spikes: exploring the neural code
On decoding the responses of a population of neurons from short time windows

Neural Computation

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Abstract

In this paper information theory is used to analyze the coding capabilities of populations of retinal ganglions cells for transmitting information. The study of a single code versus a distributed code has been contrasted using this methodology. The redundancy inherent in the code has been quantified by computing the bits of information transmitted by increasing number of neurons. Although initially there is a linear growth, when certain numbers of neurons are included, information saturates. Our results support the view that redundancy is a crucial feature in visual information processing.