脑机接口 / BCI

A Synchronous EEG-fNIRS BCI: A Proof-of-Concept for Multimodal Avalanche Analysis of Motor Cognition in Older Adults

一种同步EEG-fNIRS脑机接口：多模态雪崩分析在老年人运动认知中的证明概念研究

Eva Guttmann-Flury, Yun-Hsuan Chen, Qiaoyuan Xiang, Hao Zhang, Mohamad Sawan

专题命中 神经信号处理 ：BCI(title,abstract)；EEG(title,abstract)；neural signal(abstract)；分类 q-bio.NC

AI总结 本文提出一种结合同步EEG-fNIRS与神经雪崩分析的多模态框架，用于检测阿尔茨海默病早期网络功能障碍。研究通过小样本试点验证了多模态框架的技术可行性，并发现条件依赖的网络组织模式。

Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection

基于强化学习的超启发式超参数优化的公平可解释性脉冲神经网络金融欺诈检测

Sadman Mohammad Nasif, Md Abrar Jahin, M. F. Mridha

机构 * organization= Department of Computer Science \& Engineering, Khulna University of Engineering \& Technology (KUET) , city= Khulna , postcode= 9203 , country= Bangladesh ； organization= Thomas Lord Department of Computer Science, Viterbi School of Engineering, University of Southern California , city= Los Angeles , state= CA , postcode= 90089 , country= USA ； organization= Department of Computer Science, American International University-Bangladesh (AIUB) , city= Dhaka , postcode= 1229 , country= Bangladesh 纠错

专题命中 神经信号处理 ：cortical(abstract)；分类 cs.LG

AI总结 本文提出结合脉冲编码网络与强化学习引导超启发式优化器的框架，用于实现公平且可解释的脉冲神经网络金融欺诈检测，通过在Bank Account Fraud数据集上验证，模型在5%的假阳性率下达到90.8%的召回率。

Journal ref Knowledge-Based Systems (2026)