- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 6.3MB)
-
- Publisher copy:
- 10.1371/journal.pcbi.1006007
-
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- Funding agency for:
- Sotiropoulos, SN
- 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
- Copyright holder:
- Abeysuriya et al.
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 Abeysuriya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal article
A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks
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+ Engineering and Physical Sciences Research Council
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