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。

2025-12-12 至 2025-12-12 共收录 4 篇信号源：q-bio.NC, eess.SP, cs.LG, cs.HC, cs.RO

1. EEG解码 1 篇

2401.16878 2025-12-12 cs.HC 85%

Enhancing EEG Signal-Based Emotion Recognition with Synthetic Data: Diffusion Model Approach

通过合成数据增强EEG信号基于情绪识别：扩散模型方法

Gourav Siddhad, Masakazu Iwamura, Partha Pratim Roy

专题命中 EEG解码：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

AI总结本研究提出基于扩散模型的合成数据生成方法，用于提升EEG信号的情绪识别准确率，实验结果显示在DEAP数据集上分类准确率提高5.6%，优于传统GAN和DDPM方法。

Comments 10 Pages, 10 Figures, 4 Tables

Journal ref IEEE Trans. Artif. Intell., 2025

2. 神经信号处理 2 篇

2509.04454 2025-12-12 q-bio.NC 79%

Mechanisms for anesthesia, unawareness, respiratory depression, memory replay and sleep: MHb > IPN > PAG + DRN + MRN > claustrum > cortical slow waves

麻醉、无意识、呼吸抑制、记忆回放和睡眠的机制：MHb > IPN > PAG + DRN + MRN > claustrum > 脑皮层慢波

Karin Vadovičová

专题命中神经信号处理：cortical(title,abstract)；分类 q-bio.NC

AI总结该研究揭示了麻醉、无意识、呼吸抑制、记忆回放和睡眠的神经机制，通过激活MHb-IPN-MRN回路及5-HT2a受体，解释了阿片类药物和迷幻药的作用机制。

Comments This second version added references (i.e. cannabinoids role in activating SWA) and highlighted model's predictions. Submitted also at Research gate. Science Open version is not updated

2512.09761 2025-12-12 q-bio.NC 57%

Prefrontal scaling of reward prediction error readout gates reinforcement-derived adaptive behavior in primates

前额叶奖励预测误差解码调控灵长类动物基于强化学习的适应性行为

Tian Sang, Yichun Huang, Fangwei Zhong, Miao Wang, Shiqi Yu, Jiahui Li, Yuanjing Feng, Yizhou Wang, Kwok Sze Chai, Ravi S. Menon, Meiyun Wang, Fang Fang, Zheng Wang

专题命中神经信号处理：cortical(abstract)；分类 q-bio.NC

AI总结研究发现人类通过更高效的前额叶区域解码机制实现更优的适应性行为，揭示了物种间适应性差异的神经机制。

Comments 24 pages, 5 figures

3. 语音与意图解码 1 篇

2512.10179 2025-12-12 cs.LG eess.SP 62%

Assessing Neuromorphic Computing for Fingertip Force Decoding from Electromyography

评估神经形态计算在从肌电信号解码指尖力中的应用

Abolfazl Shahrooei, Luke Arthur, Om Patel, Derek Kamper

机构 * Department of Electrical and Computer Engineering, NC State University, USA（电气与计算机工程系，北卡罗来纳州立大学）； Lampe Joint Department of Biomedical Engineering, NC State University / University of North Carolina at Chapel Hill, USA（拉姆佩联合生物医学工程系，北卡罗来纳州立大学 / 北卡罗来纳大学教堂山分校）

专题命中语音与意图解码：neural interface(abstract)；分类 eess.SP、cs.LG

AI总结本文评估了脉冲神经网络在从肌电信号解码指尖力中的应用，发现TCN在精度上优于SNN，但SNN作为神经形态架构具有潜在的改进空间。

Comments 5 pages, 6 figures. Poster included as ancillary file (IEEE_NER2025_NeuromorphicEMG_poster.pdf). Presented at IEEE EMBS NER 2025, also at NC State College of Engineering Applied AI Symposium and NC State ECE Graduate Research Symposium (tied for Best Poster)