Literature DB >> 10407050

Neural correlates of perceived brightness in the retina, lateral geniculate nucleus, and striate cortex.

A F Rossi1, M A Paradiso.   

Abstract

Brightness changes can be induced in a static gray field by modulating the luminance of surrounding areas. We used this induction phenomenon to investigate the neural representation of perceived brightness. Extracellular recordings were made in striate cortex, the lateral geniculate nucleus (LGN), and the optic tract of anesthetized cats using stimuli that produced brightness induction. While a cell's receptive field (RF) was covered by uniform gray illumination, the luminance of rectangular flanking regions was modulated sinusoidally in time, inducing brightness changes in the RF. We looked for a correspondence between the modulation of a cell's response and stimulus conditions that did or did not produce perceptual changes in brightness. We found that the responses of retinal ganglion cell axons in the optic tract were never correlated with brightness. On the other hand, many neurons in striate cortex and a small fraction in the LGN responded in a phase-locked manner at the temporal frequency of the flank modulation, even though the flanks were 3-7 degrees beyond the edges of the RF. Only in striate cortex were cells found that had responses correlated with brightness under all stimulus conditions. These findings suggest that brightness information is explicitly represented in the responses of neurons in striate cortex as part of a neural representation of object surfaces.

Entities:  

Mesh:

Year:  1999        PMID: 10407050      PMCID: PMC6783067     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  31 in total

1.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex.

Authors:  D H HUBEL; T N WIESEL
Journal:  J Physiol       Date:  1962-01       Impact factor: 5.182

2.  Organization of suppression in receptive fields of neurons in cat visual cortex.

Authors:  G C DeAngelis; J G Robson; I Ohzawa; R D Freeman
Journal:  J Neurophysiol       Date:  1992-07       Impact factor: 2.714

3.  Neuronal responses to static texture patterns in area V1 of the alert macaque monkey.

Authors:  J J Knierim; D C van Essen
Journal:  J Neurophysiol       Date:  1992-04       Impact factor: 2.714

4.  The unresponsive regions of visual cortical receptive fields.

Authors:  L Maffei; A Fiorentini
Journal:  Vision Res       Date:  1976       Impact factor: 1.886

5.  Surface representation in the visual system.

Authors:  H Komatsu; I Murakami; M Kinoshita
Journal:  Brain Res Cogn Brain Res       Date:  1996-12

6.  A light and electron microscopic study of the visual cortex of the cat and monkey.

Authors:  L J Garey
Journal:  Proc R Soc Lond B Biol Sci       Date:  1971-10-12

7.  Texture discrimination: representation of orientation and luminance differences in cells of the cat striate cortex.

Authors:  H C Nothdurft; C Y Li
Journal:  Vision Res       Date:  1985       Impact factor: 1.886

Review 8.  Stimulus specific responses from beyond the classical receptive field: neurophysiological mechanisms for local-global comparisons in visual neurons.

Authors:  J Allman; F Miezin; E McGuinness
Journal:  Annu Rev Neurosci       Date:  1985       Impact factor: 12.449

Review 9.  Organization of visual pathways in normal and visually deprived cats.

Authors:  S M Sherman; P D Spear
Journal:  Physiol Rev       Date:  1982-04       Impact factor: 37.312

10.  Cats see subjective contours.

Authors:  M Bravo; R Blake; S Morrison
Journal:  Vision Res       Date:  1988       Impact factor: 1.886

View more
  40 in total

1.  A psychophysical dissection of the brain sites involved in color-generating comparisons.

Authors:  K Moutoussis; S Zeki
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  What visual perception tells us about mind and brain.

Authors:  S Shimojo; M Paradiso; I Fujita
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-16       Impact factor: 11.205

3.  A probabilistic explanation of brightness scaling.

Authors:  Surajit Nundy; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-18       Impact factor: 11.205

4.  Saccade-based termination responses in macaque V1 and visual perception.

Authors:  James E Niemeyer; Michael A Paradiso
Journal:  Vis Neurosci       Date:  2018-01       Impact factor: 3.241

5.  On the determinants of surface brightness.

Authors:  Sergio Cesare Masin
Journal:  Psychon Bull Rev       Date:  2003-03

6.  The statistical structure of natural light patterns determines perceived light intensity.

Authors:  Zhiyong Yang; Dale Purves
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-19       Impact factor: 11.205

7.  Lightness constancy in primary visual cortex.

Authors:  S P MacEvoy; M A Paradiso
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-10       Impact factor: 11.205

8.  Visual context processing in schizophrenia.

Authors:  Eunice Yang; Duje Tadin; Davis M Glasser; Sang Wook Hong; Randolph Blake; Sohee Park
Journal:  Clin Psychol Sci       Date:  2013-01-01

9.  Dissociation of color and figure-ground effects in the watercolor illusion.

Authors:  Rüdiger Von der Heydt; Rachel Pierson
Journal:  Spat Vis       Date:  2006

10.  Responses of neurons in primary visual cortex to transient changes in local contrast and luminance.

Authors:  Wilson S Geisler; Duane G Albrecht; Alison M Crane
Journal:  J Neurosci       Date:  2007-05-09       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.