activity
20192025
most citedNeural Networks with Recurrent Generative Feedback

25 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.NC2025

A Sensing Whole Brain Zebrafish Foundation Model for Neuron Dynamics and Behavior

Sam Fatehmanesh Vegas, Matt Thomson, James Gornet +1

Neural dynamics underlie behaviors from memory to sleep, yet identifying mechanisms for higher-order phenomena (e.g., social interaction) is experimentally challenging. Existing wh…

q-bio.NC2023★ 1 cited

Automated mapping of virtual environments with visual predictive coding

James Gornet, Matthew Thomson

Humans construct internal cognitive maps of their environment directly from sensory inputs without access to a system of explicit coordinates or distance measurements. While machin…

q-bio.QM2021★ 3 cited

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…

cs.LG2020★ 25 cited

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…

cs.CV2019

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…