Literature DB >> 9304681

The knowledge used in vision and where it comes from.

H B Barlow1.   

Abstract

Knowledge is often thought to be something brought from outside to act upon the visual messages received from the eye in a 'top-down' fashion, but this is a misleadingly narrow view. First, the visual system is a multilevel heterarchy with connections acting in all directions so it has no 'top'; and second, knowledge is provided through innately determined structure and by analysis of the redundancy in sensory messages themselves, as well as from outside. This paper gives evidence about mechanisms analysing sensory redundancy in biological vision. Automatic gain controls for luminance and contrast depend upon feedback from the input, and there are strong indications that the autocorrelation function, and other associations between input variables, affect the contrast sensitivity function and our subjective experience of the world. The associative structure of sensory message can provide much knowledge about the world we live in, and neural mechanisms that discount established associative structure in the input messages by recoding them can improve survival by making new structure more easily detectable. These mechanisms may be responsible for illusions, such as those produced by a concave face-mask, that are classically attributed to top-down influences.

Entities:  

Mesh:

Year:  1997        PMID: 9304681      PMCID: PMC1692015          DOI: 10.1098/rstb.1997.0097

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  12 in total

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Authors:  D J Tolhurst; Y Tadmor; T Chao
Journal:  Ophthalmic Physiol Opt       Date:  1992-04       Impact factor: 3.117

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Authors:  H B BARLOW; R FITZHUGH; S W KUFFLER
Journal:  J Physiol       Date:  1957-08-06       Impact factor: 5.182

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Authors:  F ATTNEAVE
Journal:  Psychol Rev       Date:  1954-05       Impact factor: 8.934

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Authors:  C McCollough
Journal:  Science       Date:  1965-09-03       Impact factor: 47.728

5.  A tonic hyperpolarization underlying contrast adaptation in cat visual cortex.

Authors:  M Carandini; D Ferster
Journal:  Science       Date:  1997-05-09       Impact factor: 47.728

6.  Relations between the statistics of natural images and the response properties of cortical cells.

Authors:  D J Field
Journal:  J Opt Soc Am A       Date:  1987-12       Impact factor: 2.129

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Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

8.  Pattern recognition and the responses of sensory neurons.

Authors:  H B Barlow
Journal:  Ann N Y Acad Sci       Date:  1969-04-21       Impact factor: 5.691

9.  Contrast gain control in the cat's visual system.

Authors:  I Ohzawa; G Sclar; R D Freeman
Journal:  J Neurophysiol       Date:  1985-09       Impact factor: 2.714

Review 10.  Visual neural development.

Authors:  J A Movshon; R C Van Sluyters
Journal:  Annu Rev Psychol       Date:  1981       Impact factor: 24.137

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  9 in total

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6.  Shift toward prior knowledge confers a perceptual advantage in early psychosis and psychosis-prone healthy individuals.

Authors:  Christoph Teufel; Naresh Subramaniam; Veronika Dobler; Jesus Perez; Johanna Finnemann; Puja R Mehta; Ian M Goodyer; Paul C Fletcher
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

7.  Auditory scene analysis: the sweet music of ambiguity.

Authors:  Daniel Pressnitzer; Clara Suied; Shihab A Shamma
Journal:  Front Hum Neurosci       Date:  2011-12-14       Impact factor: 3.169

8.  An ALE meta-analytic review of top-down and bottom-up processing of music in the brain.

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9.  What is Bottom-Up and What is Top-Down in Predictive Coding?

Authors:  Karsten Rauss; Gilles Pourtois
Journal:  Front Psychol       Date:  2013-05-17
  9 in total

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