Activity in perceptual classification networks as a basis for human subjective time perception
- Submitting institution
-
University of Sussex
- Unit of assessment
- 4 - Psychology, Psychiatry and Neuroscience
- Output identifier
- 366083_80727
- Type
- D - Journal article
- DOI
-
10.1038/s41467-018-08194-7
- Title of journal
- Nature Communications
- Article number
- -
- First page
- 1
- Volume
- 10
- Issue
- 267
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
http://dx.doi.org/10.1038/s41467-018-08194-7
- 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
-
5
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- How the human brain generates our perception of time remains unknown. We provide a novel explanation based on non-temporal perceptual classification processes. We built a model centred on a feed-forward image classification network, functionally similar to human visual processing. Input videos of natural scenes drive changes in network activation and accumulated salient activations are used to estimate duration. Model estimates reproduce biases in time estimation characteristic of human reports, such as estimating busy scenes in a city as longer than scenes in a quiet office or café. Our results provide a new perspective on this fundamental aspect of human experience.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -