231 citations · 759 across the 17 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…
Universality and individuality in neural dynamics across large populations of recurrent networks
Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub +2
Task-based modeling with recurrent neural networks (RNNs) has emerged as a popular way to infer the computational function of different brain regions. These models are quantitative…
Harnessing behavioral diversity to understand circuits for cognition
Simon Musall, Anne Urai, David Sussillo +1
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring the computations they perform and understanding how these give rise to behavior. H…
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius +5
Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Further, they are quantitatively accurate models…
Making brain-machine interfaces robust to future neural variability
David Sussillo, Sergey D. Stavisky, Jonathan C. Kao +2
A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when…