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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
v1v2 (latest)

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

Frontiers in Neuroscience (Front. Neurosci.), 2019
6 March 2019
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
ArXiv (abs)PDFHTML

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

34 / 34 papers shown
SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models
Rachmad Vidya Wicaksana Putra
Aadithyan Rajesh Nair
Muhammad Shafique
126
0
0
17 Oct 2025
Continual Learning with Columnar Spiking Neural Networks
Continual Learning with Columnar Spiking Neural Networks
D. Larionov
Nikolay Bazenkov
Mikhail Kiselev
282
2
0
20 Jun 2025
Energy efficiency analysis of Spiking Neural Networks for space applications
Energy efficiency analysis of Spiking Neural Networks for space applications
Paolo Lunghi
Stefano Silvestrini
Dominik Dold
Gabriele Meoni
Alexander Hadjiivanov
Dario Izzo
407
4
0
16 May 2025
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
301
3
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 MethodsFrontiers in Neuroscience (Front. Neurosci.), 2024
Chenlin Zhou
Han Zhang
Liutao Yu
Yumin Ye
Zhaokun Zhou
Liwei Huang
Zhengyu Ma
Xiaopeng Fan
Huihui Zhou
Yonghong Tian
446
63
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 intelligenceScience Advances (Sci Adv), 2023
Wei Fang
Yanqing Chen
Jianhao Ding
Zhaofei Yu
T. Masquelier
Ding Chen
Liwei Huang
Huihui Zhou
Guoqi Li
Yonghong Tian
388
436
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 ArchitectureIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023
Sahil Hassan
Parker Dattilo
Ali Akoglu
239
3
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 FaultsFrontiers in Neuroscience (Front. Neurosci.), 2023
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
252
8
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 SystemsFrontiers in Neuroscience (Front. Neurosci.), 2022
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
225
17
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
235
22
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 SpykeTorchInternational Conference on Engineering Applications of Neural Networks (ICEANN), 2023
D. L. Manna
Alex Vicente-Sola
Paul Kirkland
Trevor Bihl
G. D. Caterina
174
13
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
196
0
0
31 Jan 2023
Models Developed for Spiking Neural Networks
Models Developed for Spiking Neural NetworksMethodsX (MethodsX), 2022
Shahriar Rezghi Shirsavar
A. Vahabie
M. Dehaqani
248
8
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 Bihl
G. D. Caterina
213
24
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 RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Mireille el Assal
Pierre Tirilly
Ioan Marius Bilasco
3DH
167
7
0
26 May 2022
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNsIEEE International Joint Conference on Neural Network (IJCNN), 2022
Ramashish Gaurav
B. Tripp
Apurva Narayan
238
9
0
14 May 2022
Recent Advances and New Frontiers in Spiking Neural Networks
Recent Advances and New Frontiers in Spiking Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Duzhen Zhang
Shuncheng Jia
Qingyu Wang
AAMLAI4CE
541
25
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
160
18
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
188
9
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 AtomicsIEEE Conference on High Performance Extreme Computing (HPEC), 2021
Dennis Bautembach
Iason Oikonomidis
Antonis Argyros
178
4
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
Mohamed Bennai
MQ
286
61
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 NetworksInternational Conference on Systems (ICONS), 2021
Adarsha Balaji
Shihao Song
Twisha Titirsha
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
214
24
0
04 May 2021
Multi-GPU SNN Simulation with Static Load Balancing
Multi-GPU SNN Simulation with Static Load BalancingIEEE International Joint Conference on Neural Network (IJCNN), 2021
Dennis Bautembach
Iason Oikonomidis
Antonis Argyros
191
6
0
09 Feb 2021
RANC: Reconfigurable Architecture for Neuromorphic Computing
RANC: Reconfigurable Architecture for Neuromorphic ComputingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
J. Mack
Ruben Purdy
K. Rockowitz
Michael Inouye
Edward Richter
...
Nirmal Kumbhare
M. S. Hassan
Kaitlin L. Fair
John Mixter
Ali Akoglu
220
30
0
01 Nov 2020
Improving Self-Organizing Maps with Unsupervised Feature Extraction
Improving Self-Organizing Maps with Unsupervised Feature ExtractionInternational Conference on Neural Information Processing (ICONIP), 2020
Lyes Khacef
Laurent Rodriguez
Benoit Miramond
SSLDRL
168
17
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
170
10
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 NetworksIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
211
58
0
17 Jul 2020
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and
  Learning
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and LearningNeural Processing Letters (NPL), 2020
Saeed Reza Kheradpisheh
M. Mirsadeghi
T. Masquelier
MQAI4CE
307
88
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 SpykeFlowIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Ruthvik Vaila
John N. Chiasson
V. Saxena
446
28
0
26 Feb 2020
Faster and Simpler SNN Simulation with Work Queues
Faster and Simpler SNN Simulation with Work QueuesIEEE International Joint Conference on Neural Network (IJCNN), 2019
Dennis Bautembach
Iason Oikonomidis
Nikolaos Kyriazis
Antonis Argyros
220
8
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
351
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 neuronInternational Journal of Neural Systems (IJNS), 2019
Saeed Reza Kheradpisheh
T. Masquelier
311
207
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 IntelligenceNeural Networks (NN), 2019
Nassim Abderrahmane
E. Lemaire
Benoit Miramond
279
46
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
350
180
0
31 Mar 2018
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