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

Abstract:: The aging brain shows a progressive loss of neuropil, which is accompanied by subtle changes in neuronal plasticity, sensory learning and memory. Neurophysiologically, aging attenuates evoked responses-including the mismatch negativity (MMN). This is accompanied by a shift in cortical responsivity from sensory (posterior) regions to executive (anterior) regions, which has been interpreted as a compensatory response for cognitive decline. Theoretical neurobiology offers a simpler explanation f...
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APA Style

Moran, R., Symmonds, M., Dolan, R., & Friston, K. (2014). The Brain Ages Optimally to Model Its Environment: Evidence from Sensory Learning over the Adult Lifespan. PLoS Computational Biology, 10(1).

MLA Style

Moran, R., et al. “The Brain Ages Optimally to Model Its Environment: Evidence from Sensory Learning over the Adult Lifespan.” PLoS Computational Biology, vol. 10, no. 1, 2014.

Chicago Style

Moran, R, M Symmonds, R Dolan, and K Friston. 2014. “The Brain Ages Optimally to Model Its Environment: Evidence from Sensory Learning over the Adult Lifespan.” PLoS Computational Biology 10 (1).
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Publisher copy:: 10.1371/journal.pcbi.1003422

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+ Moran, R More by this author

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Author

+ Symmonds, M More by this author

Institution:

University of Oxford

Division:

MSD

Department:

Clinical Neurosciences

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+ Dolan, R More by this author

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+ Friston, K More by this author

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Author

Bibliographic Details

Journal:: PLoS Computational Biology
Volume:: 10
Issue:: 1
Publication date:: 2014-01-01
DOI:: 10.1371/journal.pcbi.1003422
EISSN:: 1553-7358
ISSN:: 1553-734X

Item Description

Language:: English
Pubs id:: pubs:460439
UUID:: uuid:cf05320f-728f-424c-a2c8-5165534c6d78
Local pid:: pubs:460439
Source identifiers:: 460439
Deposit date:: 2014-06-17

Terms of use

Copyright date:: 2014

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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