학술논문
Revealing nonlinear neural decoding by analyzing choices
Document Type
article
Source
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Subject
Language
English
ISSN
2041-1723
Abstract
Sensory data about most natural task-relevant variables are entangled with task-irrelevant nuisance variables. Here, the authors present a theoretical framework for quantifying how the brain uses or decodes its nonlinear information which indicates near-optimal nonlinear decoding.