Automated classification of acoustic startle reflex waveforms in young CBA/CaJ mice using machine learning.

Fawcett, Timothy J; Cooper, Chad S; Longenecker, Ryan J; Walton, Joseph P

Fawcett, Timothy J; Cooper, Chad S; Longenecker, Ryan J; Walton, Joseph P.

Afiliación

Fawcett TJ; Global Center for Hearing and Speech Research, University of South Florida, Tampa, FL, USA; Research Computing, University of South Florida, Tampa, FL, USA; Department of Chemical and Biomedical Engineering, University of South Florida, Tampa, FL, USA.
Cooper CS; Global Center for Hearing and Speech Research, University of South Florida, Tampa, FL, USA.
Longenecker RJ; Global Center for Hearing and Speech Research, University of South Florida, Tampa, FL, USA.
Walton JP; Global Center for Hearing and Speech Research, University of South Florida, Tampa, FL, USA; Department of Chemical and Biomedical Engineering, University of South Florida, Tampa, FL, USA; Department of Communication Sciences and Disorders, University of South Florida, Tampa, FL, USA. Electronic addr

J Neurosci Methods ; 344: 108853, 2020 10 01.

Article en En | MEDLINE | ID: mdl-32668315

Asunto(s)

Inhibición Prepulso; Reflejo de Sobresalto; Estimulación Acústica; Animales; Aprendizaje Automático; Ratones; Ratones Endogámicos CBA

Palabras clave

Acoustic startle response; Ensemble models; Machine learning; Pre-pulse inhibition; Random forest

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reflejo de Sobresalto / Inhibición Prepulso Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: J Neurosci Methods Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Países Bajos

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