Impacts of Parasitic Effects on PCM-based Neuromorphic Circuits Under Advanced Technology Nodes-Reference-Cited by-同舟云学术

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Impacts of Parasitic Effects on PCM-based Neuromorphic Circuits Under Advanced Technology Nodes

Published:2024-05-10 Issue: Volume: Page:64-68
ISSN:
Container-title:2024 2nd International Symposium of Electronics Design Automation (ISEDA)
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Author:

Zhu Xiaobao¹,Peng Baokang¹,Ding Feilong¹,Xie Ziyu²,Chen Yihan³,Zhang Lining¹

Affiliation:

1. School of Electronic and Computer Engineering, Peking University,Shenzhen,China,518055

2. School of Science and Engineering, The Chinese University of Hong Kong,Shenzhen,Shenzhen,China,518172

3. The Chinese University of Hong Kong,Shenzhen,General Education Division,Shenzhen,China,518172

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616249/10617469/10617774.pdf?arnumber=10617774

Reference12 articles.

1. Towards spike-based machine intelligence with neuromorphic computing

2. An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications

3. Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element

4. NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning

5. Critical parasitic capacitance in nano-scale phase-change memory (PCM) cell

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