Bidirectional optimization of STDP conductance update characteristics for neural computing
Source abstract
Abstract
Through the three-stage oxygen vacancy distribution in TaO x /TiO x , the conductance update characteristics of STDP were optimized and the SNN recognition was strengthened.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National-Provincial Laboratory of Special Function Thin Film Materials, School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, Hunan, China
Hunan Provincial Key laboratory of Thin Film Materials and Devices, School of Materials Science and Engineering, Xiangtan University, Xiangtan 411105, China
Changsha Semiconductor Technology and Application Innovation Research Institute, College of Semiconductors (College of Integrated Circuits), Hunan University, Changsha 410082, China
Funding
National Natural Science Foundation of China · Science and Technology Program of Hunan Province · Energy Frontier Research Centers
References (62)
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