Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. - Ryan G. Benton; Suresh K. Choubey; David G. Clark; Tom Johnsten; Vijay V. Raghavan 001 (Brain and Health Informatics, 2013)

Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. - David G. Clark; Jesse A. Livezey; Edward F. Chang; Kristofer E. Bouchard (CoRR, 2018)

Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. - David G. Clark; Jesse Livezey; Kristofer E. Bouchard (NeurIPS, 2019)

Credit Assignment Through Broadcasting a Global Error Vector. - David G. Clark; L. F. Abbott; SueYeon Chung (NeurIPS, 2021)

Dimension of Activity in Random Neural Networks. - David G. Clark; L. F. Abbott; Ashok Litwin-Kumar (CoRR, 2022)

Theory of coupled neuronal-synaptic dynamics. - David G. Clark; L. F. Abbott (CoRR, 2023)

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

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

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