Optimizing the energy consumption of spiking neural networks for
neuromorphic applications

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

3 December 2019

Li-Yu Daisy Liu

Massimo Bortone

Papers citing "Optimizing the energy consumption of spiking neural networks for neuromorphic applications"

10 / 10 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Yong-Jin Liu Jiangrong Shen Qiang Zhang 33 0 0 12 May 2025
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles Biswadeep Chakraborty Saibal Mukhopadhyay 18 10 0 22 Feb 2023
An Exact Mapping From ReLU Networks to Spiking Neural Networks A. Stanojević Stanislaw Wo'zniak G. Bellec G. Cherubini A. Pantazi W. Gerstner 36 22 0 23 Dec 2022
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks Alessio Colucci A. Steininger Mohamed Bennai 27 12 0 31 Jul 2022
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 18 1 0 01 Dec 2021
Adversarial Attacks on Spiking Convolutional Neural Networks for Event-based Vision Julian Buchel Gregor Lenz Yalun Hu Sadique Sheik M. Sorbaro AAML 29 14 0 06 Oct 2021
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression Souvik Kundu Gourav Datta Massoud Pedram P. Beerel 23 14 0 16 Jul 2021
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks Rachmad Vidya Wicaksana Putra Mohamed Bennai MQ 22 44 0 05 Jul 2021
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 27 55 0 08 Jun 2020