科学与医疗

脑机接口 / BCI

脑机接口、EEG、神经信号解码、神经假体和脑控交互。

2026-07-30 至 2026-07-30 共收录 2 篇信号源：q-bio.NC, eess.SP, cs.LG, cs.HC, cs.RO

1. EEG解码 2 篇

2603.17109 2026-07-30 cs.LG 版本更新 93%

SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval

SENSE：通过隐私保护的语义检索实现高效的EEG到文本

Akshaj Murhekar, Christina Liu, Abhijit Mishra, Shounak Roychowdhury, Jacek Gwizdka

机构 * School of Information, The University of Texas at Austin（信息学院，德克萨斯大学奥斯汀分校）

专题命中 EEG解码：EEG(title,title_cn)；BCI(abstract,abstract_cn)；brain-computer interface(abstract)；neural decoding(abstract)

AI总结 SENSE通过本地语义检索和提示语言生成，实现无需微调LLM的EEG到文本转换，提升效率并保护隐私。

Comments Accepted to ACM International Conference on Multimodal Interaction 2026

2604.20448 2026-07-30 math.NA cs.NA 版本更新 89%

Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers

有限元法在EEG源成像中的正反问题交互：先进源模型与反演求解器的分布特征

Santtu Söderholm, Joonas Lahtinen, Sampsa Pursiainen

专题命中 EEG解码：EEG(title,title_cn)

AI总结研究正反问题交互对EEG源成像的影响，分析不同源模型对反演方法成功率的影响，通过分布特征评估源模型与反演方法的匹配性。

Comments 6 pages, 5 figures. Submitted to conference IEEE MetroXRAINE 2026. Updated units of flow F to the ones of current density in the definition of EMD. Copyright (c) 2026 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media