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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron

6 March 2019
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
ArXivPDFHTML

Papers citing "SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron"

32 / 32 papers shown
Title
Research Advances and New Paradigms for Biology-inspired Spiking Neural
  Networks
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks
Tianyu Zheng
Liyuan Han
Tielin Zhang
AI4CE
30
0
0
26 Aug 2024
Direct Training High-Performance Deep Spiking Neural Networks: A Review
  of Theories and Methods
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Chenlin Zhou
Han Zhang
Liutao Yu
Yumin Ye
Zhaokun Zhou
Liwei Huang
Zhengyu Ma
Xiaopeng Fan
Huihui Zhou
Yonghong Tian
46
10
0
06 May 2024
SpikingJelly: An open-source machine learning infrastructure platform
  for spike-based intelligence
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Wei Fang
Yanqing Chen
Jianhao Ding
Zhaofei Yu
T. Masquelier
Ding Chen
Liwei Huang
Huihui Zhou
Guoqi Li
Yonghong Tian
23
200
0
25 Oct 2023
A Novel Implementation Methodology for Error Correction Codes on a
  Neuromorphic Architecture
A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture
Sahil Hassan
Parker Dattilo
Ali Akoglu
17
2
0
06 Jun 2023
RescueSNN: Enabling Reliable Executions on Spiking Neural Network
  Accelerators under Permanent Faults
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
29
5
0
08 Apr 2023
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural
  Network Inference considering Approximate DRAMs for Embedded Systems
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Muhammad Shafique
24
11
0
08 Apr 2023
A Comprehensive Review of Spiking Neural Networks: Interpretation,
  Optimization, Efficiency, and Best Practices
A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices
Kai Malcolm
Josue Casco-Rodriguez
24
15
0
19 Mar 2023
Frameworks for SNNs: a Review of Data Science-oriented Software and an
  Expansion of SpykeTorch
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor J. Bihl
G. D. Caterina
12
8
0
15 Feb 2023
Spyker: High-performance Library for Spiking Deep Neural Networks
Spyker: High-performance Library for Spiking Deep Neural Networks
Shahriar Rezghi Shirsavar
M. Dehaqani
9
0
0
31 Jan 2023
Models Developed for Spiking Neural Networks
Models Developed for Spiking Neural Networks
Shahriar Rezghi Shirsavar
A. Vahabie
M. Dehaqani
22
4
0
08 Dec 2022
Simple and complex spiking neurons: perspectives and analysis in a
  simple STDP scenario
Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor J. Bihl
G. D. Caterina
30
21
0
28 Jun 2022
2D versus 3D Convolutional Spiking Neural Networks Trained with
  Unsupervised STDP for Human Action Recognition
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition
Mireille el Assal
Pierre Tirilly
Ioan Marius Bilasco
3DH
11
5
0
26 May 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Ramashish Gaurav
B. Tripp
Apurva Narayan
32
8
0
14 May 2022
Recent Advances and New Frontiers in Spiking Neural Networks
Recent Advances and New Frontiers in Spiking Neural Networks
Duzhen Zhang
Shuncheng Jia
Qingyu Wang
AAML
AI4CE
16
23
0
12 Mar 2022
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
11
12
0
18 Nov 2021
Learning through structure: towards deep neuromorphic knowledge graph
  embeddings
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Victor Caceres Chian
Marcel Hildebrandt
Thomas Runkler
Dominik Dold
GNN
8
7
0
21 Sep 2021
Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared
  Atomics
Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
Dennis Bautembach
Iason Oikonomidis
Antonis Argyros
9
2
0
08 Jul 2021
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
MQ
8
44
0
05 Jul 2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration
  with Spiking Neural Networks
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Adarsha Balaji
Shihao Song
Twisha Titirsha
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
18
24
0
04 May 2021
Multi-GPU SNN Simulation with Static Load Balancing
Multi-GPU SNN Simulation with Static Load Balancing
Dennis Bautembach
Iason Oikonomidis
Antonis Argyros
11
4
0
09 Feb 2021
RANC: Reconfigurable Architecture for Neuromorphic Computing
RANC: Reconfigurable Architecture for Neuromorphic Computing
J. Mack
Ruben Purdy
K. Rockowitz
Michael Inouye
Edward Richter
...
Nirmal Kumbhare
M. S. Hassan
Kaitlin L. Fair
John Mixter
Ali Akoglu
18
22
0
01 Nov 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Lyes Khacef
Laurent Rodriguez
Benoit Miramond
SSL
DRL
16
15
0
04 Sep 2020
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for
  Sensory Processing
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
Harideep Nair
John Paul Shen
James E. Smith
9
7
0
27 Aug 2020
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient
  Spiking Neural Networks
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Muhammad Shafique
11
46
0
17 Jul 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and
  Learning
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
Saeed Reza Kheradpisheh
M. Mirsadeghi
T. Masquelier
MQ
AI4CE
20
74
0
08 Jul 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with
  Binarized Classification Layers for EMNIST Classification using SpykeFlow
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
Ruthvik Vaila
John N. Chiasson
V. Saxena
16
22
0
26 Feb 2020
Faster and Simpler SNN Simulation with Work Queues
Faster and Simpler SNN Simulation with Work Queues
Dennis Bautembach
Iason Oikonomidis
Nikolaos Kyriazis
Antonis Argyros
4
7
0
16 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative
  Neural Network Architectures against Adversarial Attacks
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks
Y. Tan
Yuval Elovici
Alexander Binder
AAML
11
3
0
08 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
17
185
0
21 Oct 2019
Design Space Exploration of Hardware Spiking Neurons for Embedded
  Artificial Intelligence
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence
Nassim Abderrahmane
E. Lemaire
Benoit Miramond
11
43
0
01 Oct 2019
Bio-inspired digit recognition using reward-modulated
  spike-timing-dependent plasticity in deep convolutional networks
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
S. Thorpe
T. Masquelier
19
154
0
31 Mar 2018
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
R. Legenstein
Wolfgang Maass
116
481
0
26 Mar 2018
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