DOI: 10.1162/089976699300016827. The Effect of Correlated Variability on the Accuracy of a Population Code

The Effect of Correlated Variability on the Accuracy of a Population Code

10.1162/089976699300016827

Crossref journal-article

MIT Press

Neural Computation (281)

Abstract

We study the impact of correlated neuronal firing rate variability on the accuracy with which an encoded quantity can be extracted from a population of neurons. Contrary to widespread belief, correlations in the variabilities of neuronal firing rates do not, in general, limit the increase in coding accuracy provided by using large populations of encoding neurons. Furthermore, in some cases, but not all, correlations improve the accuracy of a population code.

Bibliography

Abbott, L. F., & Dayan, P. (1999). The Effect of Correlated Variability on the Accuracy of a Population Code. Neural Computation, 11(1), 91â101.

Authors 2

L. F. Abbott (first)
Peter Dayan (additional)

References 17 Referenced 695

Dates

Type	When
Created	23 years, 1 month ago (July 27, 2002, 3:55 a.m.)
Deposited	4 years, 5 months ago (March 12, 2021, 11:23 a.m.)
Indexed	6 days, 12 hours ago (Aug. 29, 2025, 5:58 a.m.)
Issued	26 years, 8 months ago (Jan. 1, 1999)
Published	26 years, 8 months ago (Jan. 1, 1999)
Published Print	26 years, 8 months ago (Jan. 1, 1999)

Funders 0

None

BibTeX

@article{Abbott_1999, title={The Effect of Correlated Variability on the Accuracy of a Population Code}, volume={11}, ISSN={1530-888X}, url={http://dx.doi.org/10.1162/089976699300016827}, DOI={10.1162/089976699300016827}, number={1}, journal={Neural Computation}, publisher={MIT Press}, author={Abbott, L. F. and Dayan, Peter}, year={1999}, month=jan, pages={91–101} }

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