September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
The temporal dynamics of individual colour-space geometries in the human brain
Author Affiliations
  • Lina Teichmann
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, USA
  • Ka Chun Lam
    Machine Learning Team, National Institute of Mental Health, Bethesda, USA
  • Danny Garside
    Laboratory of Sensorimotor Research, National Eye Institute, Bethesda, USA
  • Amaia Benitez-Andonegui
    MEG Core Facility, National Institute of Mental Health, Bethesda, USA
  • Sebastian Montesinos
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, USA
  • Francisco Pereira
    Machine Learning Team, National Institute of Mental Health, Bethesda, USA
  • Bevil Conway
    Laboratory of Sensorimotor Research, National Eye Institute, Bethesda, USA
    equal contribution
  • Chris Baker
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, USA
    equal contribution
Journal of Vision September 2024, Vol.24, 213. doi:https://doi.org/10.1167/jov.24.10.213
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      Lina Teichmann, Ka Chun Lam, Danny Garside, Amaia Benitez-Andonegui, Sebastian Montesinos, Francisco Pereira, Bevil Conway, Chris Baker; The temporal dynamics of individual colour-space geometries in the human brain. Journal of Vision 2024;24(10):213. https://doi.org/10.1167/jov.24.10.213.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

We often assume that people see the world in a similar way to us, as we can effectively communicate how things look. However, colour perception is one aspect of vision that varies widely among individuals as shown by differences in colour discrimination, colour constancy, colour appearance and colour naming. Further, the neural response to colour is dynamic and varies over time. Many attempts have been made to construct formal, uniform colour spaces that aim to capture universally valid similarity relationships, but there are discrepancies between these models and individual perception. Combining Magnetoencephalography (MEG) and psychophysical data we examined the extent to which these discrepancies can be accounted for by the geometry of the neural representation of colour and their evolution over time. In particular, we used a dense sampling approach and collected neural responses to hundreds of colours to reconstruct individual fine-grained colour-space geometries from neural signals with millisecond accuracy. In addition, we collected large-scale behavioural data to assess perceived similarity relationships between different colours for every participant. Using a computational modelling approach, we extracted similarity embeddings from the behavioural data to model the neural signal directly. We find that colour information is present in the neural signal from approximately 70 ms onwards but that neural colour-space geometries unfold non-uniformly over time. These findings highlight the gap between theoretical colour spaces and colour perception and represent a novel avenue to gain insights into the subjective nature of perception.

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