Information loss in an optimal maximum likelihood decoding

dc.creatorSamengo, Ines
dc.date2001-10-26
dc.date.accessioned2026-07-07T05:46:25Z
dc.date.available2026-07-07T05:46:25Z
dc.descriptionThe mutual information between a set of stimuli and the elicited neural responses is compared to the corresponding decoded information. The decoding procedure is presented as an artificial distortion of the joint probabilities between stimuli and responses. The information loss is quantified. Whenever the probabilities are only slightly distorted, the information loss is shown to be quadratic in the distortion
dc.description5 pages, no figures, to be published in Neural Computation
dc.identifierhttps://arxiv.org/abs/physics/0110074
dc.identifierhttp://arxiv.org/abs/physics/0110074
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84326
dc.subjectBiological Physics
dc.subjectDisordered Systems and Neural Networks
dc.subjectData Analysis, Statistics and Probability
dc.subjectQuantitative Methods
dc.titleInformation loss in an optimal maximum likelihood decoding
dc.typetext

Files

Collections