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

The human auditory system displays a robust capacity to adapt to sudden changes in background noise, allowing for continuous speech comprehension despite changes in background environments. However, despite comprehensive studies characterizing this ability, the computations that underly this process...

Descripción completa

Detalles Bibliográficos
Autores principales: Mischler, Gavin, Keshishian, Menoua, Bickel, Stephan, Mehta, Ashesh D., Mesgarani, Nima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510744/
https://www.ncbi.nlm.nih.gov/pubmed/36529203
http://dx.doi.org/10.1016/j.neuroimage.2022.119819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510744/
https://www.ncbi.nlm.nih.gov/pubmed/36529203
http://dx.doi.org/10.1016/j.neuroimage.2022.119819

Ejemplares similares