Picture for David G. Clark

David G. Clark

Simplified derivations for high-dimensional convex learning problems

Add code
Dec 02, 2024
Figure 1 for Simplified derivations for high-dimensional convex learning problems
Viaarxiv icon

Connectivity structure and dynamics of nonlinear recurrent neural networks

Add code
Sep 03, 2024
Viaarxiv icon

Structure of activity in multiregion recurrent neural networks

Add code
Feb 20, 2024
Viaarxiv icon

Theory of coupled neuronal-synaptic dynamics

Add code
Feb 17, 2023
Viaarxiv icon

Dimension of Activity in Random Neural Networks

Add code
Aug 07, 2022
Figure 1 for Dimension of Activity in Random Neural Networks
Figure 2 for Dimension of Activity in Random Neural Networks
Figure 3 for Dimension of Activity in Random Neural Networks
Figure 4 for Dimension of Activity in Random Neural Networks
Viaarxiv icon

Credit Assignment Through Broadcasting a Global Error Vector

Add code
Jun 08, 2021
Figure 1 for Credit Assignment Through Broadcasting a Global Error Vector
Figure 2 for Credit Assignment Through Broadcasting a Global Error Vector
Figure 3 for Credit Assignment Through Broadcasting a Global Error Vector
Figure 4 for Credit Assignment Through Broadcasting a Global Error Vector
Viaarxiv icon

Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis

Add code
May 23, 2019
Figure 1 for Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Figure 2 for Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Figure 3 for Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Figure 4 for Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Viaarxiv icon

Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces

Add code
Jun 05, 2018
Figure 1 for Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
Figure 2 for Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
Figure 3 for Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
Figure 4 for Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
Viaarxiv icon