The Brain Ages Optimally to Model Its Environment: Evidence from Sensory Learning over the Adult Lifespan

PLoS Computational Biology

Volumn 10, Issue 1, 2014, Pages

  Moran, Rosalyn J ^a   Symmonds, Mkael ^b,c   Dolan, Raymond J ^b   Friston, Karl J ^b  

^a VIRGINIA TECH CARILION SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS;

COGNITIVE DECLINE; EVOKED RESPONSE; LEARNING AND MEMORY; LIFESPANS; MISMATCH NEGATIVITY; NEURONAL PLASTICITY; NEUROPIL; RESPONSIVITY; SIMPLE++; SYNAPTIC CONNECTIVITY;

BIOLOGY;

ADULT; AGED; AGING; ARTICLE; BAYESIAN LEARNING; BRAIN DEPTH RECORDING; BRAIN REGION; CAUSAL MODELING; COHORT ANALYSIS; CONNECTOME; CONTROLLED STUDY; DYNAMIC CAUSAL MODELING; FEMALE; HUMAN; HUMAN EXPERIMENT; INFERIOR FRONTAL GYRUS; LEARNING; LIFESPAN; MAGNETOENCEPHALOGRAPHY; MALE; MEASUREMENT ACCURACY; MISMATCH NEGATIVITY; NERVE CELL PLASTICITY; NORMAL HUMAN; PROCESS OPTIMIZATION; SENSORY LEARNING; SUPERIOR TEMPORAL GYRUS; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; AGING; ALGORITHMS; AUDITORY CORTEX; BAYES THEOREM; BRAIN; BRAIN MAPPING; CEREBRAL CORTEX; COHORT STUDIES; FEMALE; HUMANS; LEARNING; MAGNETOENCEPHALOGRAPHY; MALE; MIDDLE AGED; MODELS, THEORETICAL; NEURONAL PLASTICITY; NEURONS; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 84896730491     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003422     Document Type: Article

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