[HTML][HTML] Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston, D Hassabis… - Nature …, 2021 - nature.com
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston, D Hassabis… - Nature …, 2021 - ideas.repec.org
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
I Higgins, L Chang, V Langston, D Hassabis… - Nature …, 2021 - europepmc.org
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston… - Nature …, 2021 - ui.adsabs.harvard.edu
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston, D Hassabis… - Nature …, 2021 - ora.ox.ac.uk
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
[PDF][PDF] Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons
C Summerfield, D Tsao… - arXiv preprint arXiv …, 2020 - authors.library.caltech.edu
Deep supervised neural networks trained to classify objects have emerged as popular
models of computation in the primate ventral stream. These models represent information …
models of computation in the primate ventral stream. These models represent information …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston… - Nature …, 2021 - pubmed.ncbi.nlm.nih.gov
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
I Higgins, L Chang, V Langston… - Nature …, 2021 - econpapers.repec.org
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons
I Higgins, L Chang, V Langston, D Hassabis… - arXiv preprint arXiv …, 2020 - arxiv.org
Deep supervised neural networks trained to classify objects have emerged as popular
models of computation in the primate ventral stream. These models represent information …
models of computation in the primate ventral stream. These models represent information …
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.
I Higgins, L Chang, V Langston… - Nature …, 2021 - search.ebscohost.com
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 …
objective drives learning in the ventral visual stream. To answer this question, we model …