David G. Clark

David G. Clark

dgc2138@cumc.columbia.edu

Graduate Student in Neurobiology and Behavior at Columbia University

Hello!

I am a theoretical neuroscientist and PhD candidate at Columbia University in the Center for Theoretical Neuroscience, primarily advised by Larry Abbott.

Update: Starting Fall 2025, I will be a research fellow at the Kempner Institute at Harvard University. Please get in touch if you would like to collaborate!

Neural circuits are characterized by their large scale, nonlinear dynamics, complex recurrent interactions, and connections that change across multiple timescales. I use tools from statistical physics and machine learning to understand how these features enable computation and learning.

My publications are listed below, or see Google Scholar.

Outside of science, I see a lot of Broadway and enjoy juggling.

Social

Education

  • PhD in Neurobiology and Behavior
    Columbia University, 2019-Present
  • BA in Physics, Computer Science
    UC Berkeley, 2017

Publications

David G. Clark, L.F. Abbott, Haim Sompolinsky (2025). Symmetries and continuous attractors in disordered neural circuits. bioRš›˜iv.

bioRš›˜iv

David G. Clark, Haim Sompolinsky (2024). Simplified derivations for high-dimensional convex learning problems. arXiv.

arXiv

David G. Clark, Owen Marschall, Alexander van Meegen, Ashok Litwin-Kumar (2024). Connectivity structure and dynamics of nonlinear recurrent neural networks. arXiv.

arXiv

David G. Clark, L.F. Abbott (2024). Theory of coupled neuronal-synaptic dynamics. Physical Review X.

PDF Journal Physics Magazine Viewpoint arXiv

David G. Clark, Manuel Beiran (2024). Structure of activity in multiregion recurrent neural networks. arXiv.

arXiv

David G. Clark, L.F. Abbott, Ashok Litwin-Kumar (2023). Dimension of activity in random neural networks. Physical Review Letters.

PDF Journal arXiv

Walter Fischler-Ruiz, David G. Clark, Narendra Joshi, Virginia Devi-Chou, Lacey Kitch, Mark Schnitzer, L.F. Abbott, Richard Axel (2021). Olfactory landmarks and path integration converge to form a cognitive spatial map. Neuron.

PDF Journal Code Video

David G. Clark, L.F. Abbott, SueYeon Chung (2021). Credit assignment through broadcasting a global error vector. NeurIPS 2021.

arXiv Code

David G. Clark, Jesse Livezey, Kristofer Bouchard (2019). Unsupervised discovery of temporal structure in noisy data with dynamical components analysis. NeurIPS 2019.

arXiv Code

Rebecca Carney, Kristofer Bouchard, Paolo Calafiura, David G. Clark, David Donofrio, Maurice Garcia-Sciveres, Jesse Livezey (2017). Neuromorphic Kalman filter implementation in IBM's TrueNorth. Journal of Physics: Conference Series.

PDF Journal

Notes

Notes on Doi-Peliti field theory

Feb. 6, 2025