The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Varieties of cognitive penetration in visual perception
Open accessAbstract
Is our perceptual experience a veridical representation of the world or is it a product of our beliefs and past experiences? Cognitive penetration describes the influence of higher level cognitive factors on perceptual experience and has been a debated topic in philosophy of mind and cognitive science. Here, we focus on visual perception, particularly early vision, and how it is affected by contextual expectations and memorized cognitive contents. We argue for cognitive penetration based on recent empirical evidence demonstrating contextual and top-down influences on early visual processes. On the basis of a perceptual model, we propose different types of cognitive penetration depending on the processing level on which the penetration happens and depending on where the penetrating influence comes from. Our proposal has two consequences: (1) the traditional controversy on whether cognitive penetration occurs or not is ill posed, and (2) a clear-cut perception-cognition boundary cannot be maintained.
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Cites
Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,080
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 2×
“The most recent and theoretically most detailed account of predictive coding has been put forward by Friston (2010) and Clark (2013) while the basic ideas have been developed already earlier going back to Helmholtz (1860), Sokolov (1960), Gegory (1968) and Mumford (1992) (see Clark (2013) and…”
Barsalou, L. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002149 · Cited by 6,887
Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924
Cummins, R., & Fodor, J. (1985) · The Philosophical Review · doi:10.2307/2184717 · Cited by 4,791
Milner, A. D., & Goodale, M. A. (2002) · Vision and Mind · doi:10.7551/mitpress/7111.003.0023 · Cited by 3,331
Knowledge and the Flow of Information.
Alston, W. P., & Dretske, F. I. (1983) · The Philosophical Review · doi:10.2307/2184492 · Cited by 3,286
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126
Empiricism and the philosophy of mind
Sellars, W. (1997) · University of Minnesota Digital Conservancy (University of Minnesota) · Cited by 2,727
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 1×
“This stage may also include the basic processing of a fast feed-forward gist capture as postulated by Lamme and Roelfsema (2000) or Hochstein and Ahissar (2002).”
Cited by
Cognition does not affect perception: Evaluating the evidence for “top-down” effects
Firestone, C., & Scholl, B. J. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000965 · Cited by 1,200
A social Bayesian brain: how social knowledge can shape visual perception
Otten, M., Seth, A. K., & Pinto, Y. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2016.05.002 · Cited by 124
(2016) · Project Muse (Johns Hopkins University) · Cited by 115
Temporal Expectation and Attention Jointly Modulate Auditory Oscillatory Activity in the Beta Band
Todorovic, A., Schoffelen, J.-M., van Ede, F., Maris, E., & de Lange, F. P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120288 · Cited by 84
Wang, L., Wang, Z., Wang, X., & Zhao, Y. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101080 · Cited by 63
Metadata
- Authors
- Vetter, P., & Newen, A.
- Venue
- Consciousness and Cognition
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 27
- Pages
- 62-75
- ISSN
- 1053-8100 (ISSN-L)
- OpenAlex
- W2120001394
- Cited by
- 263
- References
- 88
- FWCI
- 29.27
- 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).
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