articleTop 1% cited
The Effect of Correlated Variability on the Accuracy of a Population Code
Neural Computation · 1999 · Vol. 11(1) · pp. 91–101
L. F. Abbott✉(Brandeis University)Peter Dayan(Institute of Cognitive and Brain Sciences)
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.
Neural dynamics and brain functionNeural Networks and ApplicationsReceptor Mechanisms and SignalingCoding (social sciences)PopulationCode (set theory)Neural codingEncoding (memory)StatisticsComputer sciencePattern recognition (psychology)AlgorithmArtificial intelligence
MeSH terms
ElectrophysiologyModels, BiologicalNeurons
Citations
876
FWCI
10.73
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References
20
Percentile
99%
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References
Fundamentals of Statistical Signal Processing: Estimation Theory
Technometrics · 1995 · 11,234 citations
Noise, neural codes and cortical organization
Current Opinion in Neurobiology · 1994 · 1,292 citations
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