161 citations · 305 across the 11 of their papers we have counts for
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q-bio.NC2020★ 161 cited
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons
Irina Higgins, Le Chang, Victoria Langston +4
Deep supervised neural networks trained to classify objects have emerged as popular models of computation in the primate ventral stream. These models represent information with a h…
q-bio.NC2020★ 8 cited
If deep learning is the answer, then what is the question?
Andrew Saxe, Stephanie Nelli, Christopher Summerfield
Neuroscience research is undergoing a minor revolution. Recent advances in machine learning and artificial intelligence (AI) research have opened up new ways of thinking about neur…