An Energy-Efficient Computing-in-Memory Neuromorphic System with On-Chip Training-Reference-Cited by-同舟云学术

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An Energy-Efficient Computing-in-Memory Neuromorphic System with On-Chip Training

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
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Author:

Zhao Zhao,Wang Yuan,Zhang Xinyue,Cui Xiaoxin,Huang Ru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8910168/8918681/08918995.pdf?arnumber=8918995

Cited by 112 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling;2024 Neuro Inspired Computational Elements Conference (NICE);2024-04-23

2. Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-12

3. Neuro-CIM: ADC-Less Neuromorphic Computing-in-Memory Processor With Operation Gating/Stopping and Digital–Analog Networks;IEEE Journal of Solid-State Circuits;2023-10

4. Wi-Fi frame detection via spiking neural networks with memristive synapses;Computer Communications;2023-08

5. Multi-sensor Ensemble-guided Attention Network for Aerial Vehicle Perception Beyond Visible Spectrum;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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