Bidirectional optimization of STDP conductance update characteristics for neural computing
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.
Authors
- Hongjia Song (ORCID: https://orcid.org/0000-0003-0288-2425)
- Gaokuo Zhong (ORCID: https://orcid.org/0000-0003-4238-2759)
- Linyan Yao
- Jiaxi Liu (ORCID: https://orcid.org/0000-0001-9629-4178)
- Jinbin Wang (ORCID: https://orcid.org/0000-0001-5192-7648)
- Xiangli Zhong (ORCID: https://orcid.org/0000-0003-1520-3567)
Institutions
- Hunan University (CN)
- Changsha University (CN)
- Xiangtan University (CN)
Publication Details
- Journal
- Journal of Materials Chemistry C
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1039/d5tc03580e
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00