Sparse Coding by Spiking Neural Networks: Convergence Theory and
Computational Results

Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results

15 May 2017

Mike Davies

Papers citing "Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results"

6 / 6 papers shown

Title
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware Zhenhui Chen Haoran Xu De Ma 12 0 0 18 May 2025
Making a Spiking Net Work: Robust brain-like unsupervised machine learning Peter G. Stratton Andrew Wabnitz Chip Essam A. Cheung T. Hamilton OOD 34 4 0 02 Aug 2022
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing N. Getty Thomas Brettin Di Jin R. Stevens Fangfang Xia MedIm 29 15 0 11 May 2020
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching Cengiz Pehlevan 29 18 0 04 Feb 2019
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks Bryce Allen Bagley Blake Bordelon Benjamin Moseley R. Wessel 21 1 0 07 Oct 2018
A network of spiking neurons for computing sparse representations in an energy efficient way Tao Hu A. Genkin D. Chklovskii 56 22 0 04 Oct 2012