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Subcortical coding of predictable and unsupervised sound-context associations.
Chen, Chi; Cruces-Solís, Hugo; Ertman, Alexandra; de Hoz, Livia.
Afiliação
  • Chen C; Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
  • Cruces-Solís H; International Max Planck Research School for Neurosciences, Göttingen, Germany.
  • Ertman A; Göttingen Graduate School of Neurosciences and Molecular Biosciences, Germany.
  • de Hoz L; Charité Medical University, Neuroscience Research Center, Berlin, Germany.
Curr Res Neurobiol ; 5: 100110, 2023.
Article em En | MEDLINE | ID: mdl-38020811
Our environment is made of a myriad of stimuli present in combinations often patterned in predictable ways. For example, there is a strong association between where we are and the sounds we hear. Like many environmental patterns, sound-context associations are learned implicitly, in an unsupervised manner, and are highly informative and predictive of normality. Yet, we know little about where and how unsupervised sound-context associations are coded in the brain. Here we measured plasticity in the auditory midbrain of mice living over days in an enriched task-less environment in which entering a context triggered sound with different degrees of predictability. Plasticity in the auditory midbrain, a hub of auditory input and multimodal feedback, developed over days and reflected learning of contextual information in a manner that depended on the predictability of the sound-context association and not on reinforcement. Plasticity manifested as an increase in response gain and tuning shift that correlated with a general increase in neuronal frequency discrimination. Thus, the auditory midbrain is sensitive to unsupervised predictable sound-context associations, revealing a subcortical engagement in the detection of contextual sounds. By increasing frequency resolution, this detection might facilitate the processing of behaviorally relevant foreground information described to occur in cortical auditory structures.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Curr Res Neurobiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Curr Res Neurobiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha