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Multilevel prototype constraints based on hyperbolic space for EEG auditory attention decoding
DOI:10.1016/j.patcog.2026.113741.png)
摘要
En 中文
• 提出了一种带双曲嵌入的多级原型优化策略。• 设计了中心约束以克服特征分布扩散。• HE-MLPO能够通过多重约束建模层次属性。
Keyword:
Hyperbolic embedding
Multilevel prototype optimization
EEG auditory attention decoding
Hierarchical constraints
Feature distribution modeling
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Brain Topology Modeling With EEG-Graphs for Auditory Spatial Attention Detection基于EEG-Graphs的脑拓扑建模用于听觉空间注意检测
DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection
NEURAL NETWORKS
IF6.3
MAS-DGAT-Net: A dynamic graph attention network with multibranch feature extraction and staged fusion for EEG emotion recognitionMas-dgat-net: 具有多分支特征提取和阶段融合的动态图注意网络,用于EEG情感识别

