Convolutional neural networks can decode eye movement data: A black box approach to predicting task from eye movements

Previous attempts to classify task from eye movement data have relied on model architectures designed to emulate theoretically defined cognitive processes and/or data that have been processed into aggregate (e.g., fixations, saccades) or statistical (e.g., fixation density) features. Black box convo...

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Detalles Bibliográficos
Autores principales: Cole, Zachary J., Kuntzelman, Karl M., Dodd, Michael D., Johnson, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288051/
https://www.ncbi.nlm.nih.gov/pubmed/34264288
http://dx.doi.org/10.1167/jov.21.7.9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288051/
https://www.ncbi.nlm.nih.gov/pubmed/34264288
http://dx.doi.org/10.1167/jov.21.7.9

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