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J Neurophysiol (May 1, 2003). 10.1152/jn.01070.2002
Submitted on Submitted 27 November 2002; accepted in final form 10 January 2003
Department of Experimental Psychology, Oxford University, Oxford OX1 3UD, United Kingdom
Rolls, Edmund T.,
Leonardo Franco,
Nicholas C. Aggelopoulos, and
Steven Reece.
An Information Theoretic Approach to the Contributions of the
Firing Rates and the Correlations Between the Firing of Neurons. J. Neurophysiol. 89: 2810-2822, 2003. To
analyze the extent to which populations of neurons encode information
in the numbers of spikes each neuron emits or in the relative time of
firing of the different neurons that might reflect synchronization, we
developed and analyzed the performance of an information theoretic
approach. The formula quantifies the corrections to the instantaneous
information rate that result from correlations in spike emission
between pairs of neurons. We showed how these cross-cell terms can be
separated from the correlations that occur between the spikes emitted
by each neuron, the auto-cell terms in the information rate expansion.
We also described a method to test whether the estimate of the amount of information contributed by stimulus-dependent synchronization is
significant. With simulated data, we show that the approach can
separate information arising from the number of spikes emitted by each
neuron from the redundancy that can arise if neurons have common inputs
and from the synergy that can arise if cells have stimulus-dependent
synchronization. The usefulness of the approach is also demonstrated by
showing how it helps to interpret the encoding shown by neurons in the
primate inferior temporal visual cortex. When applied to a sample
dataset of simultaneously recorded inferior temporal cortex neurons,
the algorithm showed that most of the information is available in the
number of spikes emitted by each cell; that there is typically just a
small degree (approximately 12%) of redundancy between simultaneously
recorded inferior temporal cortex (IT) neurons; and that there
is very little gain of information that arises from stimulus-dependent
synchronization effects in these neurons.
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