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,...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Higgins, I, Chang, L, Langston, V, Hassabis, D, Summerfield, C, Tsao, D, Botvinick, M
Format:	Journal article
Język:	English
Wydane:	Springer Nature 2021

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