Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 432
- Type
- D - Journal article
- DOI
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10.1073/pnas.1508523113
- Title of journal
- Proceedings of the National Academy of Sciences of the United States of America
- Article number
- -
- First page
- E616
- Volume
- 113
- Issue
- 5
- ISSN
- 0027-8424
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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-
- 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)
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-
- Citation count
- 83
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This resulted from a collaboration with Maria Chait at UCL which led directly to a new BBSRC grant with Pearce as co-investigator and Chait as PI (BB/P003745/1, 2017-2020). It investigated human auditory pattern recognition using an innovative combination of psychophysics, neuroimaging and computational modelling, showing that listeners’ detection of regularities in complex auditory scenes approaches that of an optimal statistical model while associated neural activity challenge the accepted neuroscientific consensus. Another team at NYU used the method developed in this paper to demonstrate in a subsequent PNAS paper that non-human primates show human-like conscious detection of complex acoustic regularities (https://doi.org/10.1073/pnas.1714684115).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -