Reliability perspective of resistive synaptic devices on the neuromorphic system performance
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IEEE
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http://xplorestaging.ieee.org/ielx7/8345372/8353529/08353615.pdf?arnumber=8353615
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1. Self-Curable Synaptor With Tri-Node Charge- Trap FinFET for Semi-Supervised Learning;IEEE Electron Device Letters;2024-04
2. Volatile Memristive Devices with Analog Resistance Switching Based on Self-Assembled Squaraine Microtubes as Synaptic Emulators;ACS Applied Materials & Interfaces;2024-01-04
3. Relaxation Signal Analysis and Optimization of Analog Resistive Random Access Memory for Neuromorphic Computing;IEEE Transactions on Electron Devices;2024-01
4. Impact of Non-Volatile Memory Cells on Spiking Neural Network Annealing Machine With In-Situ Synapse Processing;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-11
5. Three-dimensional Environmentally Sustainable Neuromorphic Computing System Based on Natural Organic Memristor;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06
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