ArticleNature communications2019
Activity in perceptual classification networks as a basis for human subjective time perception.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 151 citations in OpenAlex.
- Trial
- The interaction of speed and time in biasing the perception of dynamically changing visual inputs.Journal of vision · 2026Article
- Toward understanding the role of visual hierarchy in flicker-induced time dilation: A preregistered study.PloS one · 2026Article
- Subjective time perception in dementia: a behavioural and neuroanatomical analysis.Brain communications · 2026Article
- A Rosetta Stone hypothesis for neurophenomenology: mathematical predictions from predictive processing.Neuroscience of consciousness · 2026Article
- Parahippocampal-ventromedial prefrontal cortex functional coupling mediates the association between subjective time perception and delay discounting.Scientific reports · 2025Article
- The effect of individual visual sensitivity on time perception.Scientific reports · 2025Article
- Turns around periodic spatial boundaries facilitate increasing event segmentation over time.Royal Society open science · 2024Article
- An event-termination cue causes perceived time to dilate.Psychonomic bulletin & review · 2024Article
- Direct contribution of the sensory cortex to the judgment of stimulus duration.Nature communications · 2024Article
- Cognitive effects on experienced duration and speed of time, prospectively, retrospectively, in and out of lockdown.Scientific reports · 2024Article
- Event as the central construal of psychological time in humans.Frontiers in psychology · 2024Review
- Bayesian Surprise Predicts Human Event Segmentation in Story Listening.Cognitive science · 2023Article
- A purely visual adaptation to motion can differentiate between perceptual timing and interval timing.Proceedings. Biological sciences · 2023Article
- A metacognitive approach to the study of motion-induced duration biases reveals inter-individual differences in forming confidence judgments.Journal of vision · 2023Article
- Evidence That Event Boundaries Are Access Points for Memory Retrieval.Psychological science · 2023Article
- Movie editing influences spectators' time perception.Scientific reports · 2022Article
- The neural bases for timing of durations.Nature reviews. Neuroscience · 2022Review
- The temporal context in bayesian models of interval timing: Recent advances and future directions.Behavioral neuroscience · 2022Article
- A proxy measure of striatal dopamine predicts individual differences in temporal precision.Psychonomic bulletin & review · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.