Beyond excitation/inhibition imbalance in multidimensional models of neural circuit changes in brain disorders
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 148345760
- Type
- D - Journal article
- DOI
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10.7554/eLife.26724
- Title of journal
- eLife
- Article number
- e26724
- First page
- -
- Volume
- 6
- Issue
- -
- ISSN
- 2050-084X
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- URL
-
-
- 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
-
3
- Research group(s)
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A - Artificial Intelligence and Autonomy
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper used computational modelling to show how an influential conceptual theory for autism [Rubenstein & Merzenich, Genes, Brain and Behavior, 2003; >2000 citations] was fundamentally limited, because it is one-dimensional and so cannot explain multidimensional phenotypes in the autistic brain. As a result O’Donnell was invited to a selective meeting with a key autism research funder (SFARI meeting: https://www.sfari.org/2018/11/26/sfari-workshop-revisited-the-excitation-inhibition-hypothesis-of-autism), and was awarded a $200k grant as PI, continuing the collaboration with co-author Prof Portera-Cailliau. The impact of this work reaches beyond computer science into neuroscience [Insel et al, PLoS Comp Biol, 2018] and biomedicine [Antoine et al, Neuron, 2019].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -