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Efficient Computation in Adaptive Artificial Spiking Neural Networks

Efficient Computation in Adaptive Artificial Spiking Neural Networks

13 October 2017
Davide Zambrano
Roeland Nusselder
H. Scholte
S. Bohté
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Papers citing "Efficient Computation in Adaptive Artificial Spiking Neural Networks"

9 / 9 papers shown
Title
Ultra-low-power Image Classification on Neuromorphic Hardware
Ultra-low-power Image Classification on Neuromorphic Hardware
Gregor Lenz
Garrick Orchard
Sadique Sheik
10
0
0
28 Sep 2023
Brain-Inspired Learning on Neuromorphic Substrates
Brain-Inspired Learning on Neuromorphic Substrates
Friedemann Zenke
Emre Neftci
31
87
0
22 Oct 2020
File Classification Based on Spiking Neural Networks
File Classification Based on Spiking Neural Networks
A. Stanojević
G. Cherubini
Timoleon Moraitis
A. Sebastian
14
3
0
08 Apr 2020
The Heidelberg spiking datasets for the systematic evaluation of spiking
  neural networks
The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks
Benjamin Cramer
Yannik Stradmann
Johannes Schemmel
Friedemann Zenke
11
203
0
16 Oct 2019
Boosting Throughput and Efficiency of Hardware Spiking Neural
  Accelerators using Time Compression Supporting Multiple Spike Codes
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes
Changqin Xu
Wenrui Zhang
Yu Liu
Peng Li
6
15
0
10 Sep 2019
A Tandem Learning Rule for Effective Training and Rapid Inference of
  Deep Spiking Neural Networks
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
Jibin Wu
Yansong Chua
Malu Zhang
Guoqi Li
Haizhou Li
Kay Chen Tan
19
14
0
02 Jul 2019
Locally Connected Spiking Neural Networks for Unsupervised Feature
  Learning
Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
D. J. Saunders
Devdhar Patel
Hananel Hazan
H. Siegelmann
R. Kozma
12
53
0
12 Apr 2019
Efficient Spiking Neural Networks with Logarithmic Temporal Coding
Efficient Spiking Neural Networks with Logarithmic Temporal Coding
Ming Zhang
Nenggan Zheng
De Ma
Gang Pan
Zonghua Gu
25
16
0
10 Nov 2018
Unsupervised Learning of a Hierarchical Spiking Neural Network for
  Optical Flow Estimation: From Events to Global Motion Perception
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
Federico Paredes-Valles
Kirk Y. W. Scheper
Guido de Croon
20
155
0
28 Jul 2018
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