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

Roseboom, Warrick, Zafeirios, Fountas, Nikiforou, Kyriacos, Bhownik, David, Shanahan, Murray and Seth, Anil K (2019) Activity in perceptual classification networks as a basis for human subjective time perception. Nature Communications, 10 (267). pp. 1-9. ISSN 2041-1723

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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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Informatics
Research Centres and Groups: Centre for Computational Neuroscience and Robotics
Sackler Centre for Consciousness Science
Subjects: B Philosophy. Psychology. Religion > BF Psychology > BF0311 Consciousness. Cognition
Depositing User: Marianne Cole
Date Deposited: 11 Dec 2018 10:01
Last Modified: 02 Jul 2019 13:02

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