Taste Processing: Insights from Animal Models

dc.contributor.authorMolero Chamizo, Andrés
dc.contributor.authorRivera Urbina, Guadalupe Nathzidy
dc.date.accessioned2020-10-16T07:22:08Z
dc.date.available2020-10-16T07:22:08Z
dc.date.issued2020-07
dc.description.abstractTaste processing is an adaptive mechanism involving complex physiological, motivational and cognitive processes. Animal models have provided relevant data about the neuroanatomical and neurobiological components of taste processing. From these models, two important domains of taste responses are described in this review. The first part focuses on the neuroanatomical and neurophysiological bases of olfactory and taste processing. The second part describes the biological and behavioral characteristics of taste learning, with an emphasis on conditioned taste aversion as a key process for the survival and health of many species, including humans.es_ES
dc.description.departmentPsicología Clínica y Experimental
dc.identifier.citationMolero Chamizo, A., & Rivera Urbina, G. N. (2020). Taste Processing: Insights from Animal Models. Molecules, 25(14), 3112. DOI: https://doi.org/10.3390/molecules25143112es_ES
dc.identifier.doi10.3390/molecules25143112
dc.identifier.issn1420-3049
dc.identifier.urihttp://hdl.handle.net/10272/18928
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.otherFlavoures_ES
dc.subject.otherMolecular signallinges_ES
dc.subject.otherOlfactory processinges_ES
dc.subject.otherReceptorses_ES
dc.subject.otherTaste learninges_ES
dc.subject.otherTaste processinges_ES
dc.titleTaste Processing: Insights from Animal Modelses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicationf1d55184-6162-411d-a94d-79916a127841
relation.isAuthorOfPublication500f2d35-9d9a-4225-9705-08c9b5fb36b5
relation.isAuthorOfPublication.latestForDiscoveryf1d55184-6162-411d-a94d-79916a127841

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