Adjudicating between face-coding models with individual-face fMRI responses.
The perceptual representation of individual faces is often explained with reference to a norm-based face space. In such spaces, individuals are encoded as vectors where identity is primarily conveyed by direction and distinctiveness by eccentricity. Here we measured human fMRI responses and psychoph...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-07-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC5550004?pdf=render |
| _version_ | 1818511812709056512 |
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| author | Johan D Carlin Nikolaus Kriegeskorte |
| author_facet | Johan D Carlin Nikolaus Kriegeskorte |
| author_sort | Johan D Carlin |
| collection | DOAJ |
| description | The perceptual representation of individual faces is often explained with reference to a norm-based face space. In such spaces, individuals are encoded as vectors where identity is primarily conveyed by direction and distinctiveness by eccentricity. Here we measured human fMRI responses and psychophysical similarity judgments of individual face exemplars, which were generated as realistic 3D animations using a computer-graphics model. We developed and evaluated multiple neurobiologically plausible computational models, each of which predicts a representational distance matrix and a regional-mean activation profile for 24 face stimuli. In the fusiform face area, a face-space coding model with sigmoidal ramp tuning provided a better account of the data than one based on exemplar tuning. However, an image-processing model with weighted banks of Gabor filters performed similarly. Accounting for the data required the inclusion of a measurement-level population averaging mechanism that approximates how fMRI voxels locally average distinct neuronal tunings. Our study demonstrates the importance of comparing multiple models and of modeling the measurement process in computational neuroimaging. |
| first_indexed | 2024-12-10T23:38:08Z |
| format | Article |
| id | doaj.art-3d2b9b8b6ee745bcb19918433804c106 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-10T23:38:08Z |
| publishDate | 2017-07-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-3d2b9b8b6ee745bcb19918433804c1062022-12-22T01:29:07ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582017-07-01137e100560410.1371/journal.pcbi.1005604Adjudicating between face-coding models with individual-face fMRI responses.Johan D CarlinNikolaus KriegeskorteThe perceptual representation of individual faces is often explained with reference to a norm-based face space. In such spaces, individuals are encoded as vectors where identity is primarily conveyed by direction and distinctiveness by eccentricity. Here we measured human fMRI responses and psychophysical similarity judgments of individual face exemplars, which were generated as realistic 3D animations using a computer-graphics model. We developed and evaluated multiple neurobiologically plausible computational models, each of which predicts a representational distance matrix and a regional-mean activation profile for 24 face stimuli. In the fusiform face area, a face-space coding model with sigmoidal ramp tuning provided a better account of the data than one based on exemplar tuning. However, an image-processing model with weighted banks of Gabor filters performed similarly. Accounting for the data required the inclusion of a measurement-level population averaging mechanism that approximates how fMRI voxels locally average distinct neuronal tunings. Our study demonstrates the importance of comparing multiple models and of modeling the measurement process in computational neuroimaging.http://europepmc.org/articles/PMC5550004?pdf=render |
| spellingShingle | Johan D Carlin Nikolaus Kriegeskorte Adjudicating between face-coding models with individual-face fMRI responses. PLoS Computational Biology |
| title | Adjudicating between face-coding models with individual-face fMRI responses. |
| title_full | Adjudicating between face-coding models with individual-face fMRI responses. |
| title_fullStr | Adjudicating between face-coding models with individual-face fMRI responses. |
| title_full_unstemmed | Adjudicating between face-coding models with individual-face fMRI responses. |
| title_short | Adjudicating between face-coding models with individual-face fMRI responses. |
| title_sort | adjudicating between face coding models with individual face fmri responses |
| url | http://europepmc.org/articles/PMC5550004?pdf=render |
| work_keys_str_mv | AT johandcarlin adjudicatingbetweenfacecodingmodelswithindividualfacefmriresponses AT nikolauskriegeskorte adjudicatingbetweenfacecodingmodelswithindividualfacefmriresponses |