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Cited by 992

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Reading a Neural Code

Bialek, William, Rieke, Fred, de Ruyter van Steveninck, Rob R., Warland, David·1991·Science
DOI 10.1126/science.2063199
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Abstract

Traditional approaches to neural coding characterize the encoding of known stimuli in average neural responses. Organisms face nearly the opposite task—extracting information about an unknown time-dependent stimulus from short segments of a spike train. Here the neural code was characterized from the point of view of the organism, culminating in algorithms for real-time stimulus estimation based on a single example of the spike train. These methods were applied to an identified movement-sensitive neuron in the fly visual system. Such decoding experiments determined the effective noise level and fault tolerance of neural computation, and the structure of the decoding algorithms suggested a simple model for real-time analog signal processing with spiking neurons.

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Metadata

Authors
Bialek, W., Rieke, F., de Ruyter van Steveninck, R. R., & Warland, D.
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
1991-06-28
Volume
252
Issue
5014
Pages
1854-1857
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.2063199
OpenAlex
W1984931175
Cited by
992
References
1
FWCI
9.28
Type
journal article
Language
en
Open access
closed

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