Literature DB >> 12678646

Color opponent neurons in V1: a review and model reconciling results from imaging and single-unit recording.

Denis Schluppeck1, Stephen A Engel.   

Abstract

The signals in visual cortex that ultimately give rise to color perception remain poorly understood. Controversy has particularly surrounded one aspect of color's encoding in the visual system-opponent processing in primary visual cortex. Early single-unit studies suggested that V1 contains relatively few color-opponent neurons. Neuroimaging measurements, however, have suggested that such neurons might be relatively numerous. Here, we reconcile these apparently discrepant results and conclude that V1 contains relatively large numbers of color-opponent neurons. We first review results from each method and find that most neuroimaging studies provide evidence of substantial color opponency in V1, and that despite apparent controversy, most single-unit studies agree that relatively large numbers of V1 neurons show some sort of color opponency. To reconcile the results from different techniques more formally, we used electrophysiological data to predict the outcomes of neuroimaging experiments. We simulated the expected fMRI response in V1 to spatial patterns of different color, based on the neurons' properties, as reported in Johnson, Hawken, and Shapley, (2001). The simulated responses to stimuli used in Engel, Zhang, and Wandell, (1997) agree well with the actually observed fMRI results. The model identifies several factors that led to the apparent discrepancy between techniques, and makes testable predictions about how these factors influence the magnitude of color-opponent signals. fMRI and single-unit data converge to show that large numbers of color-opponent neurons exist in V1.

Mesh:

Year:  2002        PMID: 12678646     DOI: 10.1167/2.6.5

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  18 in total

1.  Spatial and temporal properties of cone signals in alert macaque primary visual cortex.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurosci       Date:  2006-10-18       Impact factor: 6.167

Review 2.  A comparative analysis of neural taste processing in animals.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-07-27       Impact factor: 6.237

3.  Brightness-color interactions in human early visual cortex.

Authors:  Dajun Xing; Ahmed Ouni; Stephanie Chen; Hinde Sahmoud; James Gordon; Robert Shapley
Journal:  J Neurosci       Date:  2015-02-04       Impact factor: 6.167

4.  Surface color and predictability determine contextual modulation of V1 firing and gamma oscillations.

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Journal:  Elife       Date:  2019-02-04       Impact factor: 8.140

5.  Individual differences in cardiac vagal tone are associated with differential neural responses to facial expressions at different spatial frequencies: an ERP and sLORETA study.

Authors:  Gewnhi Park; Eunok Moon; Do-Won Kim; Seung-Hwan Lee
Journal:  Cogn Affect Behav Neurosci       Date:  2012-12       Impact factor: 3.282

6.  Stochastic resonance model of synaesthesia.

Authors:  Poortata Lalwani; David Brang
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-10-21       Impact factor: 6.237

Review 7.  Spikes, BOLD, attention, and awareness: a comparison of electrophysiological and fMRI signals in V1.

Authors:  Geoffrey M Boynton
Journal:  J Vis       Date:  2011-12-23       Impact factor: 2.240

Review 8.  Color in the cortex: single- and double-opponent cells.

Authors:  Robert Shapley; Michael J Hawken
Journal:  Vision Res       Date:  2011-02-17       Impact factor: 1.886

9.  The orientation selectivity of color-responsive neurons in macaque V1.

Authors:  Elizabeth N Johnson; Michael J Hawken; Robert Shapley
Journal:  J Neurosci       Date:  2008-08-06       Impact factor: 6.167

10.  Color responses of the human lateral geniculate nucleus: [corrected] selective amplification of S-cone signals between the lateral geniculate nucleno and primary visual cortex measured with high-field fMRI.

Authors:  Kathy T Mullen; Serge O Dumoulin; Robert F Hess
Journal:  Eur J Neurosci       Date:  2008-11       Impact factor: 3.386

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