
Neural measures of subsequent memory reflect endogenous variability in cognitive function.
Author(s) -
Christoph T. Weidemann,
Michael J. Kahana
Publication year - 2020
Publication title -
journal of experimental psychology. learning, memory, and cognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.758
H-Index - 156
eISSN - 1939-1285
pISSN - 0278-7393
DOI - 10.1037/xlm0000966
Subject(s) - encoding (memory) , cognition , psychology , set (abstract data type) , cognitive psychology , electroencephalography , neural activity , neural correlates of consciousness , recognition memory , neuroscience , computer science , programming language
Human cognition exhibits a striking degree of variability: Sometimes we rapidly forge new associations whereas at other times new information simply does not stick. Correlations between neural activity during encoding and subsequent retrieval performance have implicated such "subsequent memory effects" (SMEs) as important for understanding the neural basis of memory formation. Uncontrolled variability in external factors that also predict memory performance, however, confounds the interpretation of these effects. By controlling for a comprehensive set of external variables, we investigated the extent to which neural correlates of successful memory encoding reflect variability in endogenous brain states. We show that external variables that reliably predict memory performance have relatively small effects on electroencephalographic (EEG) correlates of successful memory encoding. Instead, the brain activity that is diagnostic of successful encoding primarily reflects fluctuations in endogenous neural activity. These findings link neural activity during learning to endogenous states that drive variability in human cognition. (PsycInfo Database Record (c) 2021 APA, all rights reserved).