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A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks

Abstract:

Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One possible explanation is that robust dynamics are facilitated by homeostatic mechanisms that can dynamically rebalance brain networks. In this study, we simulate a cortical brain network using the Wilson-Cowan neural mass model with conduction de...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pcbi.1006007

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Psychiatry
Role:
Author
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Funding agency for:
Woolrich, MW
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Funding agency for:
Woolrich, MW
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Grant:
Oxford Health Biomedical Research Centre
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
14
Issue:
2
Pages:
Article: e1006007
Publication date:
2018-02-23
Acceptance date:
2018-01-29
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:821789
URN:
uri:23922250-0140-4d8d-86f7-10b8d1d9f7f4
UUID:
uuid:23922250-0140-4d8d-86f7-10b8d1d9f7f4
Local pid:
pubs:821789
Paper number:
2

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