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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Warrick Roseboom, Zafeirios Fountas, Kyriacos Nikiforou, David Bhowmik, Murray Shanahan, Anil K. Seth

ABSTRACT

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. More... »

PAGES

267

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-018-08194-7

DOI

http://dx.doi.org/10.1038/s41467-018-08194-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111375471

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30655543


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