Neural integration underlying naturalistic prediction flexibly adapts to varying sensory input rate

Predicting future sensory input based on past sensory information is essential for organisms to effectively adapt their behaviour in dynamic environments. The authors identify the neural mechanisms enabling humans to predict dynamic stimuli in natural environments despite large sensory input rate va...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Thomas J. Baumgarten, Brian Maniscalco, Jennifer L. Lee, Matthew W. Flounders, Patrice Abry, Biyu J. He
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Q
Acceso en línea:https://doaj.org/article/df00db16a99949feaa69189f8674c3b6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:Predicting future sensory input based on past sensory information is essential for organisms to effectively adapt their behaviour in dynamic environments. The authors identify the neural mechanisms enabling humans to predict dynamic stimuli in natural environments despite large sensory input rate variations.