RT Journal Article
SR Electronic
T1 Signatures of optimal inference during learning in rat prefrontal cortex
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 027102
DO 10.1101/027102
A1 Abhinav Singh
A1 Adrien Peyrache
A1 Mark D. Humphries
YR 2015
UL http://biorxiv.org/content/early/2015/09/21/027102.abstract
AB Cortical population activity may represent sampling from an internal model. Using data from rats learning rules on a maze task, we show that sampling rates of population activity patterns in prefrontal cortex converge between waking and sleep over learning. Sample rate changes were greatest for activity patterns predictive of correct choice and expressed at the choice point. Our results suggest inference-by-sampling is a general computational principle for cortex.