Wade, Alex R orcid.org/0000-0003-4871-2747 and Baker, Daniel H orcid.org/0000-0002-0161-443X (2025) Measuring contrast processing in the visual system using the steady state visually evoked potential (SSVEP). Vision Research. 108614. ISSN 0042-6989
Abstract
Contrast is the currency of the early visual system. Measuring the way that the computations underlying contrast processing depend on factors such as spatial and temporal frequency, age, clinical conditions, eccentricity, chromaticity and the presence of other stimuli has been a focus of vision science for over a century. One of the most productive experimental approaches in this field has been the use of the 'steady-state visually-evoked potential' (SSVEP): a technique where contrast modulating inputs are 'frequency tagged' (presented at well-defined frequencies and phases) and the electrical signals that they generate in the brain are analyzed in the temporal frequency domain. SSVEPs have several advantages over conventional measures of visually-evoked responses: they have relatively unambiguous ouput measures, a high signal to noise ratio (SNR), and they allow us to analyze interactions between stimulus components using a convenient mathematical framework. Here we describe how SSVEPs have been used to study visual contrast over the past 70 years. Because our thinking about SSVEPs is well-described by simple mathematical models, we embed code that illustrates key steps in the modelling and analysis. This paper can therefore be used both as a review of the use of SSVEP in measuring human contrast processing, and as an interactive learning aid.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 04 Jul 2025 11:10 |
Last Modified: | 07 Jul 2025 23:11 |
Published Version: | https://doi.org/10.1016/j.visres.2025.108614 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.visres.2025.108614 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:228764 |