Deep Spiking Neural Networks: Models and Learning Algorithms

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ORIGINAL RESEARCH

Published on 26 Nov 2024

Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition

Xinxu Lin
Mingxuan Liu
Hong Chen

Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition

doi 10.3389/fncom.2024.1508297

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BRIEF RESEARCH REPORT

Published on 30 May 2024

DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications

Fuming Lei
Xu Yang
Jian Liu
Runjiang Dou
Nanjian Wu

DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications

doi 10.3389/fncom.2024.1418115

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Frontiers in Computational Neuroscience

Frontiers in Computational Neuroscience

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