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

Autor: Thomas J. Baumgarten, Brian Maniscalco, Jennifer L. Lee, Matthew W. Flounders, Patrice Abry, Biyu J. He
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-22632-z
Popis: 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.
Databáze: Directory of Open Access Journals