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Activity in perceptual classification networks as a basis for human subjective time perception

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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 Seth
Despite 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 Communications

ISSN

2041-1723

Publisher

Nature Research

Issue

267

Volume

10

Page range

1-9

Department 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

2018-12-11

First Open Access (FOA) Date

2019-01-23

First Compliant Deposit (FCD) Date

2018-12-10

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