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Recognizing Images with at most one Spike per Neuron
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Recognizing Images with at most one Spike per Neuron

Christoph Stöckl
Wolfgang Maass
ArXiv (abs)PDFHTML

Papers citing "Recognizing Images with at most one Spike per Neuron"

5 / 5 papers shown
Title
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
97
1
0
16 May 2025
DRiVE: Dynamic Recognition in VEhicles using snnTorch
DRiVE: Dynamic Recognition in VEhicles using snnTorch
Heerak Vora
Param Pathak
Parul Bakaraniya
129
0
0
04 Feb 2025
Ultra-low-power Image Classification on Neuromorphic Hardware
Ultra-low-power Image Classification on Neuromorphic Hardware
Gregor Lenz
Garrick Orchard
Sadique Sheik
55
0
0
28 Sep 2023
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions
Aaron R. Voelker
Daniel Rasmussen
C. Eliasmith
104
18
0
10 Feb 2020
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikes
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikes
Christoph Stöckl
Wolfgang Maass
3DH
102
10
0
31 Jan 2020