Developmental self-construction and –configuration of functional neocortical neuronal networks
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 208059-168758-1292
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1003994
- Title of journal
- PLoS Computational Biology
- Article number
- e1003994
- First page
- -
- Volume
- 10
- Issue
- 12
- ISSN
- 1553-7358
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1371/journal.pcbi.1003994
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
6
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first study to show how a functional neuronal network can self-organise in 3D to great detail. By taking into account biological processes as well as physical mechanisms, it has fostered a new approach in computational neuroscience. This work has strongly supported the creation of a collaboration with CERN, where the new software BioDynaMo is being implemented. Moreover, it was highly beneficial for three successful fellowship applications (MRC Skills Development Fellowship, SNF, and EPSRC UKRI Innovation Fellowship) of the first author, worth together almost £1 million.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -