TopSpark: A Timestep Optimization Methodology for Energy-Efficient
Spiking Neural Networks on Autonomous Mobile Agents

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TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents

3 March 2023

Rachmad Vidya Wicaksana Putra

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Papers citing "TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents"

11 / 11 papers shown

Title
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 57 11 0 08 Apr 2023
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Mohamed Bennai 56 16 0 24 May 2022
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions A. Basu Charlotte Frenkel Lei Deng Xueyong Zhang 74 71 0 14 Mar 2022
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency Sayeed Shafayet Chowdhury Nitin Rathi Kaushik Roy 73 41 0 01 Oct 2021
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments Rachmad Vidya Wicaksana Putra Mohamed Bennai 58 33 0 28 Feb 2021
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks Rachmad Vidya Wicaksana Putra Mohamed Bennai 86 47 0 17 Jul 2020
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 71 103 0 24 Feb 2020
Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks Jason M. Allred Kaushik Roy CLL 78 31 0 08 Feb 2019
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 64 233 0 04 Jun 2018
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition Nitin Rathi Priyadarshini Panda Kaushik Roy 66 113 0 12 Oct 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,862 0 01 Oct 2015

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