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Across-ear stimulus-specific adaptation in the auditory cortex.
Xu, Xinxiu; Yu, Xiongjie; He, Jufang; Nelken, Israel.
Afiliación
  • Xu X; Institute of Biophysics, Chinese Academy of Sciences Beijing, China ; University of Chinese Academy of Sciences Beijing, China.
  • Yu X; Department of Neuroscience, Baylor College of Medicine Houston, TX, USA.
  • He J; Institute of Biophysics, Chinese Academy of Sciences Beijing, China ; Department of Biomedical Sciences, City University of Hong Kong Hong Kong, China.
  • Nelken I; The Edmond and Lily Safra Center for Brain Sciences and the Department of Neurobiology, The Alexander Silberman Institute of Life Sciences, Hebrew University Jerusalem, Israel.
Article en En | MEDLINE | ID: mdl-25126058
ABSTRACT
The ability to detect unexpected or deviant events in natural scenes is critical for survival. In the auditory system, neurons from the midbrain to cortex adapt quickly to repeated stimuli but this adaptation does not fully generalize to other rare stimuli, a phenomenon called stimulus-specific adaptation (SSA). Most studies of SSA were conducted with pure tones of different frequencies, and it is by now well-established that SSA to tone frequency is strong and robust in auditory cortex. Here we tested SSA in the auditory cortex to the ear of stimulation using broadband noise. We show that cortical neurons adapt specifically to the ear of stimulation, and that the contrast between the responses to stimulation of the same ear when rare and when common depends on the binaural interaction class of the neurons.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Corteza Auditiva / Adaptación Fisiológica / Oído / Lateralidad Funcional Límite: Animals Idioma: En Revista: Front Neural Circuits Año: 2014 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Corteza Auditiva / Adaptación Fisiológica / Oído / Lateralidad Funcional Límite: Animals Idioma: En Revista: Front Neural Circuits Año: 2014 Tipo del documento: Article País de afiliación: China