Neuromorphic Computing and AI for Energy-Efficient and Adaptive Edge Intelligence

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ORIGINAL RESEARCH

Accepted on 12 Feb 2026

Learned adaptive properties for mitigation of weight perturbations in embedded spiking networks

Sarah Luca
Tianyao Xiao
FRANCES CHANCE
Sapan Agarwal
Corinne Teeter
G. William Chapman

ORIGINAL RESEARCH

Published on 15 Oct 2025

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks

Jiahao Li
Ming Xu
Heng Dong
Bin Lan
Yuxin Liu
He Chen
Yin Zhuang
Yizhuang Xie
Liang Chen

doi 10.3389/fnins.2025.1665778

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Frontiers in Neuroscience

Frontiers in Neuroscience

Neuromorphic Engineering

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