Literature DB >> 22308422

Bright illusions reduce the eye's pupil.

Bruno Laeng1, Tor Endestad.   

Abstract

We recorded by use of an infrared eye-tracker the pupil diameters of participants while they observed visual illusions of lightness or brightness. Four original illusions {based on Gaetano Kanisza's [Kanizsa G (1976) Subjective contours. Sci Am 234:48-52] and Akiyoshi Kitaoka's [Kitaoka A. (2005) Trick Eyes (Barnes & Noble, New Providence, NJ).] examples} were manipulated to obtain control conditions in which the perceived illusory luminance was either eliminated or reduced. All stimuli were equiluminant so that constrictions in pupillary size could not be ascribed to changes in light energy. We found that the pupillary diameter rapidly varied according to perceived brightness and lightness strength. Differences in local contrast information could be ruled out as an explanation because, in a second experiment, the observers maintained eye fixation in the center of the display; thus, differential stimulation of the fovea by local contrast changes could not be responsible for the pupillary differences. Hence, the most parsimonious explanation for the present findings is that pupillary responses to ambient light reflect the perceived brightness or lightness of the scene and not simply the amount of physical light energy entering the eye. Thus, the pupillary physiological response reflects the subjective perception of light and supports the idea that the brain's visual circuitry is shaped by visual experience with images and their possible sources.

Entities:  

Mesh:

Year:  2012        PMID: 22308422      PMCID: PMC3277565          DOI: 10.1073/pnas.1118298109

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


  26 in total

1.  Pupillary response to chromatic flicker.

Authors:  P Drew; R Sayres; K Watanabe; S Shimojo
Journal:  Exp Brain Res       Date:  2001-01       Impact factor: 1.972

2.  Categorization of complex visual images by rhesus monkeys. Part 2: single-cell study.

Authors:  R Vogels
Journal:  Eur J Neurosci       Date:  1999-04       Impact factor: 3.386

3.  Time course of neural responses discriminating different views of the face and head.

Authors:  M W Oram; D I Perrett
Journal:  J Neurophysiol       Date:  1992-07       Impact factor: 2.714

Review 4.  An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance.

Authors:  Gary Aston-Jones; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2005       Impact factor: 12.449

5.  Subjective contours.

Authors:  G Kanizsa
Journal:  Sci Am       Date:  1976-04       Impact factor: 2.142

6.  Speed of processing in the human visual system.

Authors:  S Thorpe; D Fize; C Marlot
Journal:  Nature       Date:  1996-06-06       Impact factor: 49.962

7.  Task-evoked pupillary responses, processing load, and the structure of processing resources.

Authors:  J Beatty
Journal:  Psychol Bull       Date:  1982-03       Impact factor: 17.737

8.  Visual acuity measured with pupil responses to checkerboard stimuli.

Authors:  J Slooter; D van Norren
Journal:  Invest Ophthalmol Vis Sci       Date:  1980-01       Impact factor: 4.799

9.  Pupil diameter and load on memory.

Authors:  D Kahneman; J Beatty
Journal:  Science       Date:  1966-12-23       Impact factor: 47.728

10.  Visual neurones responsive to faces in the monkey temporal cortex.

Authors:  D I Perrett; E T Rolls; W Caan
Journal:  Exp Brain Res       Date:  1982       Impact factor: 1.972

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  37 in total

1.  Dissociable saccadic suppression of pupillary and perceptual responses to light.

Authors:  Alessandro Benedetto; Paola Binda
Journal:  J Neurophysiol       Date:  2015-12-23       Impact factor: 2.714

2.  Perceptual integration without conscious access.

Authors:  Johannes J Fahrenfort; Jonathan van Leeuwen; Christian N L Olivers; Hinze Hogendoorn
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-21       Impact factor: 11.205

3.  Pupil Sizes Scale with Attentional Load and Task Experience in a Multiple Object Tracking Task.

Authors:  Basil Wahn; Daniel P Ferris; W David Hairston; Peter König
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

Review 4.  Consciousness Regained: Disentangling Mechanisms, Brain Systems, and Behavioral Responses.

Authors:  Johan F Storm; Mélanie Boly; Adenauer G Casali; Marcello Massimini; Umberto Olcese; Cyriel M A Pennartz; Melanie Wilke
Journal:  J Neurosci       Date:  2017-11-08       Impact factor: 6.167

5.  Gaining knowledge mediates changes in perception (without differences in attention): A case for perceptual learning.

Authors:  Lauren L Emberson
Journal:  Behav Brain Sci       Date:  2016-01       Impact factor: 12.579

6.  Pupillary responses to differences in luminance, color and set size.

Authors:  Julia Oster; Jeff Huang; Brian J White; Ralph Radach; Laurent Itti; Douglas P Munoz; Chin-An Wang
Journal:  Exp Brain Res       Date:  2022-04-21       Impact factor: 1.972

7.  Anisotropy in the peripheral visual field based on pupil response to the glare illusion.

Authors:  Novera Istiqomah; Yuta Suzuki; Yuya Kinzuka; Tetsuto Minami; Shigeki Nakauchi
Journal:  Heliyon       Date:  2022-06-26

8.  Contextual Information Modulates Pupil Size in Autistic Children.

Authors:  Chiara Tortelli; Antonella Pomè; Marco Turi; Roberta Igliozzi; David C Burr; Paola Binda
Journal:  Front Neurosci       Date:  2022-04-01       Impact factor: 5.152

9.  Pupillary Responses Obey Emmert's Law and Co-vary with Autistic Traits.

Authors:  Chiara Tortelli; Marco Turi; David C Burr; Paola Binda
Journal:  J Autism Dev Disord       Date:  2021-08

10.  Pupil dilation predicts individual self-regulation success across domains.

Authors:  Silvia U Maier; Marcus Grueschow
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.379

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