Literature DB >> 21383192

Understanding vision in wholly empirical terms.

Dale Purves1, William T Wojtach, R Beau Lotto.   

Abstract

This article considers visual perception, the nature of the information on which perceptions seem to be based, and the implications of a wholly empirical concept of perception and sensory processing for vision science. Evidence from studies of lightness, brightness, color, form, and motion all indicate that, because the visual system cannot access the physical world by means of retinal light patterns as such, what we see cannot and does not represent the actual properties of objects or images. The phenomenology of visual perceptions can be explained, however, in terms of empirical associations that link images whose meanings are inherently undetermined to their behavioral significance. Vision in these terms requires fundamentally different concepts of what we see, why, and how the visual system operates.

Mesh:

Year:  2011        PMID: 21383192      PMCID: PMC3176612          DOI: 10.1073/pnas.1012178108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  22 in total

1.  Motion integration and postdiction in visual awareness.

Authors:  D M Eagleman; T J Sejnowski
Journal:  Science       Date:  2000-03-17       Impact factor: 47.728

2.  Latency difference, not spatial extrapolation.

Authors:  D Whitney; I Murakami
Journal:  Nat Neurosci       Date:  1998-12       Impact factor: 24.884

3.  Motion illusions as optimal percepts.

Authors:  Yair Weiss; Eero P Simoncelli; Edward H Adelson
Journal:  Nat Neurosci       Date:  2002-06       Impact factor: 24.884

4.  Natural-scene geometry predicts the perception of angles and line orientation.

Authors:  Catherine Q Howe; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-18       Impact factor: 11.205

5.  The Poggendorff illusion explained by natural scene geometry.

Authors:  Catherine Q Howe; Zhiyong Yang; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-11       Impact factor: 11.205

6.  An empirical explanation of aperture effects.

Authors:  Kyongje Sung; William T Wojtach; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-29       Impact factor: 11.205

7.  An empirical explanation of the flash-lag effect.

Authors:  William T Wojtach; Kyongje Sung; Sandra Truong; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-13       Impact factor: 11.205

8.  The apparent length of tilted lines.

Authors:  W C SHIPLEY; B M NANN; M J PENFIELD
Journal:  J Exp Psychol       Date:  1949-08

9.  Sparse coding with an overcomplete basis set: a strategy employed by V1?

Authors:  B A Olshausen; D J Field
Journal:  Vision Res       Date:  1997-12       Impact factor: 1.886

10.  An empirical explanation of the speed-distance effect.

Authors:  William T Wojtach; Kyongje Sung; Dale Purves
Journal:  PLoS One       Date:  2009-08-26       Impact factor: 3.240

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  27 in total

1.  Bright illusions reduce the eye's pupil.

Authors:  Bruno Laeng; Tor Endestad
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

Review 2.  Contrast coding in the electrosensory system: parallels with visual computation.

Authors:  Stephen E Clarke; André Longtin; Leonard Maler
Journal:  Nat Rev Neurosci       Date:  2015-11-12       Impact factor: 34.870

3.  Speed-invariant encoding of looming object distance requires power law spike rate adaptation.

Authors:  Stephen E Clarke; Richard Naud; André Longtin; Leonard Maler
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

Review 4.  Architecture, constraints, and behavior.

Authors:  John C Doyle; Marie Csete
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-25       Impact factor: 11.205

5.  Quantification of behavior.

Authors:  Alan Leshner; Donald W Pfaff
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-13       Impact factor: 11.205

6.  Top-down causation and emergence: some comments on mechanisms.

Authors:  George F R Ellis
Journal:  Interface Focus       Date:  2011-09-29       Impact factor: 3.906

Review 7.  Attention in the real world: toward understanding its neural basis.

Authors:  Marius V Peelen; Sabine Kastner
Journal:  Trends Cogn Sci       Date:  2014-03-13       Impact factor: 20.229

8.  Properties of artificial networks evolved to contend with natural spectra.

Authors:  Yaniv Morgenstern; Mohammad Rostami; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-14       Impact factor: 11.205

9.  How biological vision succeeds in the physical world.

Authors:  Dale Purves; Brian B Monson; Janani Sundararajan; William T Wojtach
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-17       Impact factor: 11.205

10.  Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color.

Authors:  Michael M Bannert; Andreas Bartels
Journal:  J Neurosci       Date:  2018-03-08       Impact factor: 6.167

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