A theory of how active behavior stabilises neural activity: neural gain modulation by closed-loop environmental feedback
- Submitting institution
-
University of Sussex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 108674_72045
- Type
- D - Journal article
- DOI
-
10.1371/journal.pcbi.1005926
- Title of journal
- PLoS Computational Biology
- Article number
- e1005926
- First page
- -
- Volume
- 14
- Issue
- 1
- ISSN
- 1553-734X
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://doi.org/10.1371/journal.pcbi.1005926
- 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
-
1
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this work we show that neural activity and brain function is contingent on closed-loop feedback interactions between the brain, body and environment. The work contains rigorous theory, modelling and novel data analysis. The result has significant ramifications for experimental practices across the Neurosciences. The work has enabled the lead author to obtain a New Investigator grant (“Distributed neural processing of self-generated visual input in a vertebrate brain”, BB/P022197/1, £450,000), despite otherwise no previous track record in this area.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -