English(EN) Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons

神经形态计算使用射频神经元实现节能无线分离处理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-16 04:00

研究人员开发了一种利用共振放电（RF）神经元的新型神经形态无线分离计算架构。该系统直接处理时域信号，无需进行高能耗的频谱预处理。通过在可调谐频率下共振，RF神经元在保持低放电活动的同时高效提取频谱特征，从而显著降低了计算和传输能耗。 AI

排序理由研究论文发表在arXiv上，详细介绍了一种新的计算架构。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Dengyu Wu, Jiechen Chen, H. Vincent Poor, Bipin Rajendran, Osvaldo Simeone · 2026-06-16 04:00

具有共振激发神经元的神经形态无线分离计算

arXiv:2506.20015v2 Announce Type: replace Abstract: Neuromorphic computing offers an energy-efficient alternative to conventional deep learning accelerators, particularly for real-time processing of time-series data. However, many edge applications, such as wireless sensing and a…