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J Neurosci. 2014 Mar 26;34(13):4677-85. doi: 10.1523/JNEUROSCI.3900-13.2014.

Human EEG uncovers latent generalizable rule structure during learning.

Author information

1
Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, Rhode Island 02912, and Department of Psychology, University of New Mexico, Albuquerque, New Mexico 87131.

Abstract

Human cognition is flexible and adaptive, affording the ability to detect and leverage complex structure inherent in the environment and generalize this structure to novel situations. Behavioral studies show that humans impute structure into simple learning problems, even when this tendency affords no behavioral advantage. Here we used electroencephalography to investigate the neural dynamics indicative of such incidental latent structure. Event-related potentials over lateral prefrontal cortex, typically observed for instructed task rules, were stratified according to individual participants' constructed rule sets. Moreover, this individualized latent rule structure could be independently decoded from multielectrode pattern classification. Both neural markers were predictive of participants' ability to subsequently generalize rule structure to new contexts. These EEG dynamics reveal that the human brain spontaneously constructs hierarchically structured representations during learning of simple task rules.

KEYWORDS:

EEG; prefrontal cortex; reinforcement learning; rules; task-set

PMID:
24672013
PMCID:
PMC3965790
DOI:
10.1523/JNEUROSCI.3900-13.2014
[Indexed for MEDLINE]
Free PMC Article

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