s41467-018-08194-7.pdf (1019.72 kB)
Activity in perceptual classification networks as a basis for human subjective time perception
Version 2 2023-06-12, 08:54
Version 1 2023-06-09, 16:12
journal contribution
posted on 2023-06-12, 08:54 authored by Warrick RoseboomWarrick Roseboom, Fountas Zafeirios, Kyriacos Nikiforou, David Bhownik, Murray Shanahan, Anil SethAnil SethDespite being a fundamental dimension of experience, how the human brain generates the perception of time remains unknown. Here, we provide a novel explanation for how human time perception might be accomplished, based on non-temporal perceptual classification processes. To demonstrate this proposal, we build an artificial neural system centred on a feed-forward image classification network, functionally similar to human visual processing. In this system, input videos of natural scenes drive changes in network activation, and accumulation of salient changes in activation are used to estimate duration. Estimates produced by this system match human reports made about the same videos, replicating key qualitative biases, including differentiating between scenes of walking around a busy city or sitting in a cafe or office. Our approach provides a working model of duration perception from stimulus to estimation and presents a new direction for examining the foundations of this central aspect of human experience.
History
Publication status
- Published
File Version
- Published version
Journal
Nature CommunicationsISSN
2041-1723Publisher
Nature ResearchExternal DOI
Issue
267Volume
10Page range
1-9Department affiliated with
- Informatics Publications
Research groups affiliated with
- Centre for Computational Neuroscience and Robotics Publications
- Sackler Centre for Consciousness Science Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2018-12-11First Open Access (FOA) Date
2019-01-23First Compliant Deposit (FCD) Date
2018-12-10Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC