Decoding visual colour from scalp electroencephalography measurements

Autor: Mark G. Stokes, Jasper E. Hajonides, Anna C. Nobre, Freek van Ede
Přispěvatelé: Cognitive Psychology
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
History
Polymers and Plastics
genetic structures
Computer science
Vision
Decoding
Electroencephalography
Luminance
Industrial and Manufacturing Engineering
Functional Laterality
Visual processing
0302 clinical medicine
EEG
Features
Cerebral Cortex
medicine.diagnostic_test
Orientation (computer vision)
05 social sciences
Signal Processing
Computer-Assisted
Justice and Strong Institutions
Pattern Recognition
Visual
Neurology
Female
Supervised Machine Learning
Spatial frequency
Color Perception
Decoding methods
RC321-571
Adult
SDG 16 - Peace
Adolescent
Cognitive Neuroscience
Color
Sensory system
Neurosciences. Biological psychiatry. Neuropsychiatry
Stimulus (physiology)
Article
050105 experimental psychology
Contrast Sensitivity
Young Adult
03 medical and health sciences
medicine
Humans
0501 psychology and cognitive sciences
Business and International Management
business.industry
Functional Neuroimaging
SDG 16 - Peace
Justice and Strong Institutions
Pattern recognition
Linear discriminant analysis
Electrooculography
Space Perception
Artificial intelligence
business
030217 neurology & neurosurgery
Supervised learning
Coding (social sciences)
Zdroj: NeuroImage, Vol 237, Iss, Pp 118030-(2021)
NeuroImage, 237:118030, 1-8. Academic Press Inc.
Hajonides, J E, Nobre, A C, van Ede, F & Stokes, M G 2021, ' Decoding visual colour from scalp electroencephalography measurements ', NeuroImage, vol. 237, 118030, pp. 1-8 . https://doi.org/10.1016/j.neuroimage.2021.118030
NeuroImage
Neuroimage
ISSN: 1095-9572
1053-8119
DOI: 10.1016/j.neuroimage.2021.118030
Popis: Recent advances have made it possible to decode various aspects of visually presented stimuli from patterns of scalp EEG measurements. As of recently, such multivariate methods have been commonly used to decode visual-spatial features such as location, orientation, or spatial frequency. In the current study, we show that it is also possible to track visual colour processing by using Linear Discriminant Analysis on patterns of EEG activity. Building on other recent demonstrations, we show that colour decoding: (1) reflects sensory qualities (as opposed to, for example, verbal labelling) with a prominent contribution from posterior electrodes contralateral to the stimulus, (2) conforms to a parametric coding space, (3) is possible in multi-item displays, and (4) is comparable in magnitude to the decoding of visual stimulus orientation. Through subsampling our data, we also provide an estimate of the approximate number of trials and participants required for robust decoding. Finally, we show that while colour decoding can be sensitive to subtle differences in luminance, our colour decoding results are primarily driven by measured colour differences between stimuli. Colour decoding opens a relevant new dimension in which to track visual processing using scalp EEG measurements, while bypassing potential confounds associated with decoding approaches that focus on spatial features.
Graphical abstract Image, graphical abstract
Databáze: OpenAIRE
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