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Some informational aspects of visual perception.
Abstract
The ideas of information theory are at present stimulating many different areas of psychological inquiry. In providing techniques for quantifying situations which have hitherto been difficult or impossible to quantify, they suggest new and more precise ways of conceptualizing these situations (see Miller [12] for a general discussion and bibliography). Events ordered in time are particularly amenable to informational analysis; thus language sequences are being extensively studied, and other sequences, such as those of music, plainly invite research. In this paper I shall indicate some of the ways in which the concepts and techniques of information theory may clarify our understanding of visual perception. When we begin to consider perception as an information-handling process, it quickly becomes clear that much of the information received by any higher organism is redundant. Sensory events are highly interdependent in both space and time: if we know at a given moment the states of a limited number of receptors (i.e., whether they are firing or not firing), we can make better-than-chance inferences with respect to the prior and subsequent states of these receptors, and also with respect to the present, prior, and subsequent states of other receptors. The preceding statement, taken in its broadest im-
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Citations
Cited by
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421
“, 1995; Knill and Pouget, 2004) and many other compelling proposals about perceptual synthesis – including analysis by synthesis (Neisser, 1967; Yuille and Kersten, 2006) epistemological automata (MacKay, 1956), the principle of minimum redundancy (Attneave, 1954; Barlow, H.B., 1961; Dan et al., 1996), the Infomax pri…”
Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
Neural correlations, population coding and computation
Averbeck, B. B., Latham, P. E., & Pouget, A. (2006) · Nature reviews. Neuroscience · doi:10.1038/nrn1888 · Cited by 1,743
Barlow, H. B. (1989) · Neural Computation · doi:10.1162/neco.1989.1.3.295 · Cited by 1,650
Metadata
- Authors
- Attneave, F.
- Venue
- Psychological Review
- Published
- 1954
- Volume
- 61
- Issue
- 3
- Pages
- 183-193
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2122741244
- Cited by
- 2,890
- References
- 0
- FWCI
- 14.82
- Type
- journal article
- Language
- en
- Open access
- closed
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