161 citations · 305 across the 11 of their papers we have counts for
5 papers · 1 filter
Are task representations gated in macaque prefrontal cortex?
Timo Flesch, Valerio Mante, William Newsome +3
A recent paper (Flesch et al, 2022) describes behavioural and neural data suggesting that task representations are gated in the prefrontal cortex in both humans and macaques. This…
Continual task learning in natural and artificial agents
Timo Flesch, Andrew Saxe, Christopher Summerfield
How do humans and other animals learn new tasks? A wave of brain recording studies has investigated how neural representations change during task learning, with a focus on how task…
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch, David G. Nagy, Andrew Saxe +1
Humans can learn several tasks in succession with minimal mutual interference but perform more poorly when trained on multiple tasks at once. The opposite is true for standard deep…
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…
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…