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Fluctuation-driven initialization for spiking neural network training

Fluctuation-driven initialization for spiking neural network training

21 June 2022
Julian Rossbroich
Julia Gygax
Friedemann Zenke
ArXiv (abs)PDFHTML

Papers citing "Fluctuation-driven initialization for spiking neural network training"

22 / 22 papers shown
Title
Deep activity propagation via weight initialization in spiking neural networks
Deep activity propagation via weight initialization in spiking neural networks
Aurora Micheli
Olaf Booij
Jan van Gemert
Nergis Tömen
87
0
0
01 Oct 2024
Optimized Potential Initialization for Low-latency Spiking Neural
  Networks
Optimized Potential Initialization for Low-latency Spiking Neural Networks
Tong Bu
Jianhao Ding
Zhaofei Yu
Tiejun Huang
157
90
0
03 Feb 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na
J. Mok
Seongsik Park
Dongjin Lee
Hyeokjun Choe
Sungroh Yoon
113
66
0
30 Jan 2022
Accurate and efficient time-domain classification with adaptive spiking
  recurrent neural networks
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
Bojian Yin
Federico Corradi
S. Bohté
90
221
0
12 Mar 2021
Training Deep Spiking Neural Networks
Training Deep Spiking Neural Networks
Eimantas Ledinauskas
J. Ruseckas
Alfonsas Jursenas
Giedrius Burachas
95
55
0
08 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
553
42,639
0
03 Dec 2019
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh
T. Masquelier
72
190
0
21 Oct 2019
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
46
217
0
16 Oct 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:
  Learning with Backpropagation
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
73
179
0
30 Jul 2019
Surrogate Gradient Learning in Spiking Neural Networks
Surrogate Gradient Learning in Spiking Neural Networks
Emre Neftci
Hesham Mostafa
Friedemann Zenke
104
1,242
0
28 Jan 2019
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
158
490
0
26 Mar 2018
SuperSpike: Supervised learning in multi-layer spiking neural networks
SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke
Surya Ganguli
93
566
0
31 May 2017
Training Spiking Deep Networks for Neuromorphic Hardware
Training Spiking Deep Networks for Neuromorphic Hardware
Eric Hunsberger
C. Eliasmith
69
133
0
16 Nov 2016
Training Deep Spiking Neural Networks using Backpropagation
Training Deep Spiking Neural Networks using Backpropagation
Junhaeng Lee
T. Delbruck
Michael Pfeiffer
98
947
0
31 Aug 2016
Supervised learning based on temporal coding in spiking neural networks
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
89
356
0
27 Jun 2016
Exponential expressivity in deep neural networks through transient chaos
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
Subhaneil Lahiri
M. Raghu
Jascha Narain Sohl-Dickstein
Surya Ganguli
94
595
0
16 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
98
612
0
19 Nov 2015
Spiking Deep Networks with LIF Neurons
Spiking Deep Networks with LIF Neurons
Eric Hunsberger
C. Eliasmith
69
277
0
29 Oct 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
347
18,654
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
204
5,361
0
21 Nov 2012
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