Universality and individuality in a neural code

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dc.creatorSchneidman, Elad
dc.creatorBrenner, Naama
dc.creatorTishby, Naftali
dc.creatorvan Steveninck, Rob R. de Ruyter
dc.creatorBialek, William
dc.date2000-05-16
dc.date.accessioned2026-07-07T05:44:07Z
dc.date.available2026-07-07T05:44:07Z
dc.descriptionThe problem of neural coding is to understand how sequences of action potentials (spikes) are related to sensory stimuli, motor outputs, or (ultimately) thoughts and intentions. One clear question is whether the same coding rules are used by different neurons, or by corresponding neurons in different individuals. We present a quantitative formulation of this problem using ideas from information theory, and apply this approach to the analysis of experiments in the fly visual system. We find significant individual differences in the structure of the code, particularly in the way that temporal patterns of spikes are used to convey information beyond that available from variations in spike rate. On the other hand, all the flies in our ensemble exhibit a high coding efficiency, so that every spike carries the same amount of information in all the individuals. Thus the neural code has a quantifiable mixture of individuality and universality.
dc.description16 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/physics/0005043
dc.identifierhttp://arxiv.org/abs/physics/0005043
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/83508
dc.subjectBiological Physics
dc.subjectData Analysis, Statistics and Probability
dc.subjectNeurons and Cognition
dc.subjectQuantitative Methods
dc.titleUniversality and individuality in a neural code
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