Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex.

Mischler, Gavin; Keshishian, Menoua; Bickel, Stephan; Mehta, Ashesh D; Mesgarani, Nima

Mischler, Gavin; Keshishian, Menoua; Bickel, Stephan; Mehta, Ashesh D; Mesgarani, Nima.

Afiliação

Mischler G; Mortimer B. Zuckerman Mind Brain Behavior, Columbia University, New York, United States; Department of Electrical Engineering, Columbia University, New York, United States.
Keshishian M; Mortimer B. Zuckerman Mind Brain Behavior, Columbia University, New York, United States; Department of Electrical Engineering, Columbia University, New York, United States.
Bickel S; Hofstra Northwell School of Medicine, Manhasset, New York, United States.
Mehta AD; Hofstra Northwell School of Medicine, Manhasset, New York, United States.
Mesgarani N; Mortimer B. Zuckerman Mind Brain Behavior, Columbia University, New York, United States; Department of Electrical Engineering, Columbia University, New York, United States. Electronic address: nima@ee.columbia.edu.

Neuroimage ; 266: 119819, 2023 02 01.

Article em En | MEDLINE | ID: mdl-36529203

Assuntos

Córtex Auditivo; Humanos; Estimulação Acústica/métodos; Percepção Auditiva; Neurônios; Redes Neurais de Computação

Palavras-chave

Adaptation; Auditory neuroscience; Deep neural networks; Modeling

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Córtex Auditivo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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