The effect of correlated variability on
the accuracy of a population code.
LF Abbott   Peter Dayan
Neural Computation, 11, 91-101.
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 a 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.
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