An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections
2023 · Neural Networks · 55 citations
https://doi.org/10.1016/j.neunet.2023.06.019
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Yiting Dong
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Yiting Dong is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Advanced Memory and Neural Computing & Ferroelectric and Negative Capacitance Devices & Neural dynamics and brain function. The author has an h-index of 6, co-authored 22 publications.
ORCID: 0000-0002-8405-3139Papers by this author
worksEmergence of brain-inspired small-world spiking neural network through neuroevolution
2024 · iScience · 13 citations
https://doi.org/10.1016/j.isci.2024.108845
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction
2024 · 3 citations
https://doi.org/10.52202/079017-3113
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-temporal Sparse Few-shot Learning
2022 · Figshare · 1 citations
https://doi.org/10.6084/m9.figshare.16821427
N-Omniglot: a Large-scale Dataset for Spatio-temporal Sparse Few-shot Learning
2021 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.16821427.v2
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
2026 · IEEE Transactions on Cognitive and Developmental Systems · 0 citations
https://doi.org/10.1109/tcds.2026.3666668
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