An integrated modelling framework for neural circuits with multiple neuromodulators
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76629978
- Type
- D - Journal article
- DOI
-
10.1098/rsif.2016.0902
- Title of journal
- Journal of The Royal Society Interface
- Article number
- -
- First page
- 1
- Volume
- 14
- Issue
- 126
- ISSN
- 1742-5689
- Open access status
- Compliant
- Month of publication
- January
- 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
- No
- Number of additional authors
-
5
- Research group(s)
-
A - Intelligent Systems Research Centre
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <28> This paper develops a theoretical framework for modelling neuromodulators’ interactions. This framework has led to a modelling study on psilocybin’s effects on whole-brain dynamics (Kringelbach et al., PNAS, 2020), and a collaborative work among Ulster University (k.wong-lin@ulster.ac.uk), Beijing Normal University (wangdh@bnu.edu.cn) and University of Oxford (trevor.sharp@pharm.ox.ac.uk) to model neuromodulator network degeneracy (https://www.abstractsonline.com/pp8/#!/7883/presentation/47070) which led to a PhD researcher receiving travel awards at: ISSR conference; workshop on OpenMultiMed Training School on Multi-scale and Mult-level Modelling Methodologies in Biomedicine; NM2 Conference; FENS Summer School on Chemical Neuromodulation; Brain Conference on Computational Neuroscience of Prediction; and a talk at the SfN meeting
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -