Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7558
- Type
- D - Journal article
- DOI
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10.1109/JSTSP.2016.2599010
- Title of journal
- IEEE Journal on Selected Topics in Signal Processing
- Article number
- -
- First page
- 1150
- Volume
- 10
- Issue
- 7
- ISSN
- 1932-4553
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- 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
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4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research, which allows neuroscientists to determine automatically the neural connectivity signalling structures right across the brain, contributed to an invitation to deliver a plenary address at the IET Workshop on Intelligent Signal Processing, 2016 (ttps://tv.theiet.org/?videoid=7732).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -