Intelligent encoding and economical communication in the visual stream

Simple item page
dc.creatorLorincz, Andras
dc.date2004-03-16
dc.date.accessioned2026-07-07T05:58:18Z
dc.date.available2026-07-07T05:58:18Z
dc.descriptionThe theory of computational complexity is used to underpin a recent model of neocortical sensory processing. We argue that encoding into reconstruction networks is appealing for communicating agents using Hebbian learning and working on hard combinatorial problems, which are easy to verify. Computational definition of the concept of intelligence is provided. Simulations illustrate the idea.
dc.description6 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/q-bio/0403022
dc.identifierhttp://arxiv.org/abs/q-bio/0403022
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/88309
dc.subjectNeurons and Cognition
dc.subjectArtificial Intelligence
dc.subjectComputational Complexity
dc.subjectAdaptation and Self-Organizing Systems
dc.titleIntelligent encoding and economical communication in the visual stream
dc.typetext

Files

Collections

arXiv