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SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with
  Continual and Unsupervised Learning Capabilities in Dynamic Environments

SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments

28 February 2021
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
ArXivPDFHTML

Papers citing "SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments"

10 / 10 papers shown
Title
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
Rachmad Vidya Wicaksana Putra
Pasindu Wickramasinghe
Mohamed Bennai
58
0
0
01 Apr 2025
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
Mohamed Bennai
37
11
0
08 Apr 2023
TopSpark: A Timestep Optimization Methodology for Energy-Efficient
  Spiking Neural Networks on Autonomous Mobile Agents
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
42
12
0
03 Mar 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking
  Neural Networks
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
40
6
0
24 Dec 2022
Fast Exploration of the Impact of Precision Reduction on Spiking Neural
  Networks
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
Sepide Saeedi
Alessio Carpegna
A. Savino
S. Di Carlo
33
0
0
22 Nov 2022
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks
Rachmad Vidya Wicaksana Putra
Mohamed Bennai
29
6
0
17 Jun 2022
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks
  considering Unreliable Memories
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories
Rachmad Vidya Wicaksana Putra
Muhammad Abdullah Hanif
Mohamed Bennai
28
36
0
23 Aug 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
24
44
0
05 Jul 2021
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking
  Neural Networks
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks
Alberto Marchisio
Giacomo Pira
Maurizio Martina
Guido Masera
Mohamed Bennai
AAML
39
30
0
01 Jul 2021
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous
  Cars on the Loihi Neuromorphic Research Processor
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor
Alberto Viale
Alberto Marchisio
Maurizio Martina
Guido Masera
Mohamed Bennai
37
45
0
01 Jul 2021
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