Brain-computer interface-based assessment of color vision
Year: 2021
Type: article
Abstract: Objective. Present methods for assessing color vision require the person’s active participation. Here we describe a brain-computer interface-based method for assessing color vision that does not require the person’s participation. Approach. This method uses steady-state visual evoked potentials to identify metamers—two light sources that have different spectral distributions but appear to the person to be the same color. Main results. We demonstrate that: minimization of the visual evoked potential elicited by two flickering light sources identifies the metamer; this approach can distinguish people with color-vision deficits from those with normal color vision; and this metamer-identification process can be automated. Significance. This new method has numerous potential clinical, scientific, and industrial applications.
Source: Journal of Neural Engineering
Authors: James J S Norton, Grace F DiRisio, Jonathan S Carp, Amanda E Norton, Nicholas S Kochan, Jonathan R Wolpaw
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: Spinal Effects of Cortical Stimulation: Mechanisms and Functional Impact, G5264870327, Dynamics and Causal Functions of Large-Scale Cortical and Subcortical Networks, BCI2000+: A Software Platform for Adaptive Neurotechnologies, BCI2000: Software Resource for Adaptive Neurotechnology Research, Center for Adaptive Neurotechnologies, Short Course in Adaptive Neurotechnologies
OpenAlex ID: W3205961571
