Identification of memory reactivation during sleep by EEG classification
- Submitting institution
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Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 96877105
- Type
- D - Journal article
- DOI
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10.1016/j.neuroimage.2018.04.029
- Title of journal
- NeuroImage
- Article number
- -
- First page
- 203
- Volume
- 176
- Issue
- -
- ISSN
- 1053-8119
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
http://dx.doi.org/10.1016/j.neuroimage.2018.04.029
- 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
-
9
- Research group(s)
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V - Visual computing
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents evidence of detecting memory replays in sleep from non-invasively scalp-EEG. Before this, memory reactivation was only measured through intracranial EEG. The work was recognised as the “first study” of this kind (https://doi.org/10.1016/j.cub.2019.08.019) that provides a new insight “taking advantage of distinct representational maps and associated EEG features for reactivation” (https://iopscience.iop.org/article/10.1088/1741-2552/aae131/). The method also inspired follow-up works (https://doi.org/10.3389/fnins.2020.00449; https://doi.org/10.1177/0956797619873344).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -