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A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes
The promise of artificial intelligence in understanding biological vision relies on the comparison of computational models with brain data with the goal of capturing functional principles of visual information processing. Convolutional neural networks (CNN) have successfully matched the transformati...
Autores principales: | Svanera, Michele, Morgan, Andrew T., Petro, Lucy S., Muckli, Lars |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288063/ https://www.ncbi.nlm.nih.gov/pubmed/34259828 http://dx.doi.org/10.1167/jov.21.7.5 |
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