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An optimised deep spiking neural network architecture without gradients
v1v2v3 (latest)

An optimised deep spiking neural network architecture without gradients

IEEE Access (IEEE Access), 2021
27 September 2021
Y. Bethi
Ying Xu
Gregory Cohen
A. van Schaik
Saeed Afshar
    OOD
ArXiv (abs)PDFHTML

Papers citing "An optimised deep spiking neural network architecture without gradients"

5 / 5 papers shown
Neuronal Competition Groups with Supervised STDP for Spike-Based
  Classification
Neuronal Competition Groups with Supervised STDP for Spike-Based ClassificationNeural Information Processing Systems (NeurIPS), 2024
Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco
326
4
0
22 Oct 2024
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued
  Observations
A Neuromorphic Architecture for Reinforcement Learning from Real-Valued ObservationsIEEE International Joint Conference on Neural Network (IJCNN), 2023
Sergio Chevtchenko
Y. Bethi
Teresa B Ludermir
Saeed Afshar
OffRL
319
2
0
06 Jul 2023
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable
  Spiking Neural Network on FPGA
Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGAIEEE Access (IEEE Access), 2023
A. Mehrabi
Y. Bethi
André van Schaik
Andrew Wabnitz
Saeed Afshar
224
6
0
31 May 2023
Density Invariant Contrast Maximization for Neuromorphic Earth
  Observations
Density Invariant Contrast Maximization for Neuromorphic Earth Observations
Sami Arja
Alexandre Marcireau
R. L. Balthazor
M. McHarg
Saeed Afshar
Gregory Cohen
367
7
0
27 Apr 2023
Event-driven Spectrotemporal Feature Extraction and Classification using
  a Silicon Cochlea Model
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea ModelFrontiers in Neuroscience (Front. Neurosci.), 2022
Ying Xu
S. Perera
Y. Bethi
Saeed Afshar
André van Schaik
230
11
0
14 Dec 2022
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