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Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing
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Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing

Hyeryung Jang
Osvaldo Simeone
ArXiv (abs)PDFHTML

Papers citing "Training Dynamic Exponential Family Models with Causal and Lateral Dependencies for Generalized Neuromorphic Computing"

6 / 6 papers shown
Title
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
Training Probabilistic Spiking Neural Networks with First-to-spike Decoding
Alireza Bagheri
Osvaldo Simeone
Bipin Rajendran
BDL
39
27
0
29 Oct 2017
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Spatio-Temporal Backpropagation for Training High-performance Spiking Neural Networks
Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
64
1,027
0
08 Jun 2017
A Survey of Neuromorphic Computing and Neural Networks in Hardware
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman
T. Potok
Robert M. Patton
J. Birdwell
Mark E. Dean
Garrett S. Rose
J. Plank
114
696
0
19 May 2017
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
92
945
0
31 Aug 2016
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding
Supervised Learning in Spiking Neural Networks for Precise Temporal Encoding
Brian Gardner
André Grüning
33
52
0
14 Jan 2016
Network Plasticity as Bayesian Inference
Network Plasticity as Bayesian Inference
David Kappel
Stefan Habenschuss
Robert Legenstein
Wolfgang Maass
74
122
0
20 Apr 2015

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