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Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
In order to better understand how the brain perceives faces, it is important to know what objective drives learning in the ventral visual stream. To answer this question, we model neural responses to faces in the macaque inferotemporal (IT) cortex with a deep self-supervised generative model, β-VAE,...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578601/ https://www.ncbi.nlm.nih.gov/pubmed/34753913 http://dx.doi.org/10.1038/s41467-021-26751-5 |