Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons

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,...

Полное описание

Библиографические подробности
Главные авторы:	Higgins, I, Chang, L, Langston, V, Hassabis, D, Summerfield, C, Tsao, D, Botvinick, M
Формат:	Journal article
Язык:	English
Опубликовано:	Springer Nature 2021

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