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David G. Clark
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2020 – today
- 2024
- [i8]David G. Clark, Manuel Beiran:
Structure of activity in multiregion recurrent neural networks. CoRR abs/2402.12188 (2024) - [i7]David G. Clark, Owen Marschall, Alexander van Meegen, Ashok Litwin-Kumar:
Connectivity structure and dynamics of nonlinear recurrent neural networks. CoRR abs/2409.01969 (2024) - [i6]David G. Clark, Haim Sompolinsky:
Simplified derivations for high-dimensional convex learning problems. CoRR abs/2412.01110 (2024) - 2023
- [i5]David G. Clark, L. F. Abbott:
Theory of coupled neuronal-synaptic dynamics. CoRR abs/2302.08985 (2023) - 2022
- [i4]David G. Clark, L. F. Abbott, Ashok Litwin-Kumar:
Dimension of Activity in Random Neural Networks. CoRR abs/2207.12373 (2022) - 2021
- [c3]David G. Clark, L. F. Abbott, SueYeon Chung:
Credit Assignment Through Broadcasting a Global Error Vector. NeurIPS 2021: 10053-10066 - [i3]David G. Clark, L. F. Abbott, SueYeon Chung
:
Credit Assignment Through Broadcasting a Global Error Vector. CoRR abs/2106.04089 (2021)
2010 – 2019
- 2019
- [c2]David G. Clark, Jesse Livezey, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. NeurIPS 2019: 14267-14278 - [i2]David G. Clark, Jesse A. Livezey
, Kristofer E. Bouchard:
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis. CoRR abs/1905.09944 (2019) - 2018
- [i1]David G. Clark, Jesse A. Livezey, Edward F. Chang, Kristofer E. Bouchard:
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces. CoRR abs/1805.08889 (2018) - 2013
- [c1]Ryan G. Benton
, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan:
Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. Brain and Health Informatics 2013: 266-276
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