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Monthly
288 pp. per issue, 6 x 9,
illustrated
Founded: 1989
ISSN 0899-7667
E-ISSN 1530-888X
2008 ISI Impact Factor: 2.378
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June 2006, Vol. 18, No. 6, Pages 1259-1267
Posted Online April 28, 2006.
(doi:10.1162/neco.2006.18.6.1259)
© 2006 Massachusetts Institute of Technology
Correlation and Independence in the Neural Code
The decoding scheme of a stimulus can be different from the stochastic encoding scheme in the neural population coding. The stochastic fluctuations are not independent in general, but an independent version could be used for the ease of decoding. How much information is lost by using this unfaithful model for decoding? There are discussions concerning loss of information (Nirenberg & Latham, 2003; Schneidman, Bialek, & Berry, 2003). We elucidate the Nirenberg-Latham loss from the point of view of information geometry.
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