3 citations · 3 across the 1 of their papers we have counts for
3 papers
Fine-Grained System Identification of Nonlinear Neural Circuits
Dawna Bagherian, James Gornet, Jeremy Bernstein +3
We study the problem of sparse nonlinear model recovery of high dimensional compositional functions. Our study is motivated by emerging opportunities in neuroscience to recover fin…
Neural Networks with Recurrent Generative Feedback
Yujia Huang, James Gornet, Sihui Dai +4
Neural networks are vulnerable to input perturbations such as additive noise and adversarial attacks. In contrast, human perception is much more robust to such perturbations. The B…
Reconstructing neuronal anatomy from whole-brain images
James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan +5
Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system. However, hi…