Gray, K.L.H., Flack, T.R. orcid.org/0000-0002-4115-4466, Yu, M. et al. (2 more authors) (2020) Nonlinear transduction of emotional facial expression. Vision Research, 170. pp. 1-11. ISSN 0042-6989
Abstract
To create neural representations of external stimuli, the brain performs a number of processing steps that transform its inputs. For fundamental attributes, such as stimulus contrast, this involves one or more nonlinearities that are believed to optimise the neural code to represent features of the natural environment. Here we ask if the same is also true of more complex stimulus dimensions, such as emotional facial expression. We report the results of three experiments combining morphed facial stimuli with electrophysiological and psychophysical methods to measure the function mapping emotional expression intensity to internal response. The results converge on a nonlinearity that accelerates over weak expressions, and then becomes shallower for stronger expressions, similar to the situation for lower level stimulus properties. We further demonstrate that the nonlinearity is not attributable to the morphing procedure used in stimulus generation.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Emotional expressions; Nonlinear transduction; SSVEP; Psychophysics; Morphing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Nov 2024 14:49 |
Last Modified: | 14 Nov 2024 14:49 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.visres.2020.03.004 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219646 |