Shannon mutual information provides a measure of how much information is, on average, contained in a set of neural activities about a set of stimuli. It has been extensively used to study neural coding in different brain areas. To apply a similar approach to investigate single stimulus encoding, the authors need to introduce a quantity specific for a single stimulus.
A scientific paper by Michele Bezzi
Accenture Technology Labs, Sophia Antipolis, France
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