Literature DB >> 17900902

Distinct mechanisms mediate visual detection and identification.

James M Hillis1, David H Brainard.   

Abstract

A core organizing principle for studies of the brain is that distinct neural pathways mediate distinct behavioral tasks [1, 2]. When two related tasks are mediated by a common pathway, studies of one are likely to generalize to the other. Here, we test whether performance on two laboratory tasks that model object detection and identification are mediated by common mechanisms of visual adaptation. Although both tasks rely on the luminance pattern in images, their demands on visual processing are quite different. Object detection requires discriminating image luminance differences associated with the light reflected from adjacent objects. To encode these differences reliably, neurons adapt their limited dynamic range to prevailing viewing conditions [3-6]. Object identification, on the other hand, demands a fixed response to light reflected from an object independent of illumination [7]. We compared performance in discrimination and identification tasks for simulated surfaces. In striking contrast to studies with less structured contexts, we found clear evidence that distinct processes mediate judgments in the two tasks. These results challenge models that account for perceived lightness entirely through the action of image-encoding mechanisms.

Mesh:

Year:  2007        PMID: 17900902      PMCID: PMC2772872          DOI: 10.1016/j.cub.2007.09.012

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  21 in total

1.  Natural signal statistics and sensory gain control.

Authors:  O Schwartz; E P Simoncelli
Journal:  Nat Neurosci       Date:  2001-08       Impact factor: 24.884

2.  Efficiency and ambiguity in an adaptive neural code.

Authors:  A L Fairhall; G D Lewen; W Bialek; R R de Ruyter Van Steveninck
Journal:  Nature       Date:  2001-08-23       Impact factor: 49.962

3.  Some informational aspects of visual perception.

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

4.  A unified theory of brightness contrast and assimilation incorporating oriented multiscale spatial filtering and contrast normalization.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Vision Res       Date:  2004       Impact factor: 1.886

5.  Illusory motion from change over time in the response to contrast and luminance.

Authors:  Benjamin T Backus; Ipek Oruç
Journal:  J Vis       Date:  2005-12-30       Impact factor: 2.240

6.  The relation between color discrimination and color constancy: when is optimal adaptation task dependent?

Authors:  Alicia B Abrams; James M Hillis; David H Brainard
Journal:  Neural Comput       Date:  2007-10       Impact factor: 2.026

7.  Modular and hierarchical organization of extrastriate visual cortex in the macaque monkey.

Authors:  D C Van Essen; D J Felleman; E A DeYoe; J Olavarria; J Knierim
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1990

8.  Color appearance of filled-in backgrounds affects hue cancellation, but not detection thresholds.

Authors:  J L Nerger; T P Piantanida; J Larimer
Journal:  Vision Res       Date:  1993-01       Impact factor: 1.886

9.  Contrast masking in human vision.

Authors:  G E Legge; J M Foley
Journal:  J Opt Soc Am       Date:  1980-12

10.  S-potentials from colour units in the retina of fish (Cyprinidae).

Authors:  K I Naka; W A Rushton
Journal:  J Physiol       Date:  1966-08       Impact factor: 5.182

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  16 in total

1.  The dynamic range of human lightness perception.

Authors:  Ana Radonjić; Sarah R Allred; Alan L Gilchrist; David H Brainard
Journal:  Curr Biol       Date:  2011-11-10       Impact factor: 10.834

2.  Comments and responses to "Theoretical approaches to lightness and perception".

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Perception       Date:  2015       Impact factor: 1.490

3.  The human visual system's assumption that light comes from above is weak.

Authors:  Yaniv Morgenstern; Richard F Murray; Laurence R Harris
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-11       Impact factor: 11.205

4.  Visual Adaptation.

Authors:  Michael A Webster
Journal:  Annu Rev Vis Sci       Date:  2015-10-22       Impact factor: 6.422

5.  When is spatial filtering enough? Investigation of brightness and lightness perception in stimuli containing a visible illumination component.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  Vision Res       Date:  2012-03-21       Impact factor: 1.886

6.  Neuronal population mechanisms of lightness perception.

Authors:  Douglas A Ruff; David H Brainard; Marlene R Cohen
Journal:  J Neurophysiol       Date:  2018-08-15       Impact factor: 2.714

7.  Lightness perception in high dynamic range images: local and remote luminance effects.

Authors:  Sarah R Allred; Ana Radonjic; Alan L Gilchrist; David H Brainard
Journal:  J Vis       Date:  2012-02-08       Impact factor: 2.240

8.  The Oriented Difference of Gaussians (ODOG) model of brightness perception: Overview and executable Mathematica notebooks.

Authors:  Barbara Blakeslee; Davis Cope; Mark E McCourt
Journal:  Behav Res Methods       Date:  2016-03

9.  Contrast, constancy, and measurements of perceived lightness under parametric manipulation of surface slant and surface reflectance.

Authors:  Sarah R Allred; David H Brainard
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2009-04       Impact factor: 2.129

10.  Filling-in and suppression of visual perception from context: a Bayesian account of perceptual biases by contextual influences.

Authors:  Li Zhaoping; Li Jingling
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

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