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Temporal dynamics of the neural representation of hue and luminance polarity

Author

Listed:
  • Katherine L. Hermann

    (National Eye Institute
    Stanford University)

  • Shridhar R. Singh

    (National Eye Institute)

  • Isabelle A. Rosenthal

    (National Eye Institute
    California Institute of Technology)

  • Dimitrios Pantazis

    (Massachusetts Institute of Technology)

  • Bevil R. Conway

    (National Eye Institute
    National Institute of Mental Health)

Abstract

Hue and luminance contrast are basic visual features. Here we use multivariate analyses of magnetoencephalography data to investigate the timing of the neural computations that extract them, and whether they depend on common neural circuits. We show that hue and luminance-contrast polarity can be decoded from MEG data and, with lower accuracy, both features can be decoded across changes in the other feature. These results are consistent with the existence of both common and separable neural mechanisms. The decoding time course is earlier and more temporally precise for luminance polarity than hue, a result that does not depend on task, suggesting that luminance contrast is an updating signal that separates visual events. Meanwhile, cross-temporal generalization is slightly greater for representations of hue compared to luminance polarity, providing a neural correlate of the preeminence of hue in perceptual grouping and memory. Finally, decoding of luminance polarity varies depending on the hues used to obtain training and testing data. The pattern of results is consistent with observations that luminance contrast is mediated by both L-M and S cone sub-cortical mechanisms.

Suggested Citation

  • Katherine L. Hermann & Shridhar R. Singh & Isabelle A. Rosenthal & Dimitrios Pantazis & Bevil R. Conway, 2022. "Temporal dynamics of the neural representation of hue and luminance polarity," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28249-0
    DOI: 10.1038/s41467-022-28249-0
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    References listed on IDEAS

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    1. Sébastien Marti & Stanislas Dehaene, 2017. "Discrete and continuous mechanisms of temporal selection in rapid visual streams," Nature Communications, Nature, vol. 8(1), pages 1-13, December.
    2. Katharina Dobs & Leyla Isik & Dimitrios Pantazis & Nancy Kanwisher, 2019. "How face perception unfolds over time," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    3. Youping Xiao & Yi Wang & Daniel J. Felleman, 2003. "A spatially organized representation of colour in macaque cortical area V2," Nature, Nature, vol. 421(6922), pages 535-539, January.
    4. Christopher Kanan & Garrison W Cottrell, 2012. "Color-to-Grayscale: Does the Method Matter in Image Recognition?," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-7, January.
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