The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Is subjective duration a signature of coding efficiency?
Open accessAbstract
Perceived duration is conventionally assumed to correspond with objective duration, but a growing literature suggests a more complex picture. For example, repeated stimuli appear briefer in duration than a novel stimulus of equal physical duration. We suggest that such duration illusions appear to parallel the neural phenomenon of repetition suppression, and we marshal evidence for a new hypothesis: the experience of duration is a signature of the amount of energy expended in representing a stimulus, i.e. the coding efficiency. This novel hypothesis offers a unified explanation for almost a dozen illusions in the literature in which subjective duration is modulated by properties of the stimulus such as size, brightness, motion and rate of flicker.
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Cites
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256
What makes us tick? Functional and neural mechanisms of interval timing
Buhusi, C. V., & Meck, W. H. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1764 · Cited by 2,062
Crick, F., & Koch, C. (2003) · Nature Neuroscience · doi:10.1038/nn0203-119 · Cited by 1,492
Treisman, M. (1963) · Psychological Monographs: General and Applied · doi:10.1037/h0093864 · Cited by 1,474
Dawson, G., Webb, S. J., & McPartland, J. (2005) · Developmental Neuropsychology · doi:10.1207/s15326942dn2703_6 · Cited by 989
The neural basis of temporal processing
Mauk, M. D., & Buonomano, D. V. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144247 · Cited by 976
Properties and mechanisms of perceptual priming
Wiggs, C. L., & Martin, A. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80144-x · Cited by 848
Lewis, P. A., & Miall, R. C. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00036-9 · Cited by 836
Fraisse, P. (1963) · Medical Entomology and Zoology · Cited by 825
Cited by
Temporal cognition: Connecting subjective time to perception, attention, and memory.
Matthews, W. J., & Meck, W. H. (2016) · Psychological Bulletin · doi:10.1037/bul0000045 · Cited by 384
Accumulation of neural activity in the posterior insula encodes the passage of time
Wittmann, M., Simmons, A. N., Aron, J. L., & Paulus, M. P. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.06.023 · Cited by 203
Predictive Coding in Sensory Cortex
Kok, P., & de Lange, F. P. (2015) · An Introduction to Model-Based Cognitive Neuroscience · doi:10.1007/978-1-4939-2236-9_11 · Cited by 98
Neural Hyperexcitability in Autism Spectrum Disorders
Takarae, Y., & Sweeney, J. (2017) · Brain Sciences · doi:10.3390/brainsci7100129 · Cited by 82
Kotler, S., Mannino, M., Kelso, S., & Huskey, R. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104956 · Cited by 52
Metadata
- Authors
- Eagleman, D. M., & Pariyadath, V.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2009-07-12
- Volume
- 364
- Issue
- 1525
- Pages
- 1841-1851
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2091308664
- Cited by
- 254
- References
- 96
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
