脑机接口 / BCI

MindBigData 2022 A Large Dataset of Brain Signals

David Vivancos, Felix Cuesta

专题命中 BCI数据与评测 ：BCI(abstract)；brain computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 15 pages, 10 figures

A Negative-Control Protocol for Clinical EEG Foundation-Model Benchmarks: Dataset Identity and External-Cohort Stress Testing

用于临床解码的脑电图基础模型压力测试：数据集标识和目标阴性对照

Marzieh Zare

机构 * Université Laval（拉瓦尔大学） ； NeuroGenis Inc.（NeuroGenis公司） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

AI总结 研究预训练脑电图基础模型在临床解码中的表现，通过多种方法在多数据集多任务上对六个模型进行基准测试，发现模型结论依赖评估单元、数据集偏移等因素，如在韩国痴呆症等任务中不同模型和方法表现各异。

Masked Generative-Contrastive Representation Learning for Cross-Dataset EEG-Based Emotion Recognition

用于跨数据集基于脑电图的情绪识别的掩码生成对比表示学习

Huqin Weng, Jiayang Huang, Yimin Wen, Jie Du, Chi-Man Vong, Chuangquan Chen

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

AI总结 提出掩码生成对比表示学习框架MGCRL用于跨数据集脑电图情绪识别，基于区域感知时空编码器，整合生成与对比学习，通过关键设计实现跨数据集泛化的细粒度和全局判别表示。

An Enhanced Source-Free Unsupervised Domain Adaptation Framework for Cross-Dataset EEG Emotion Recognition via Predictive Coding and Test-Time Training

一种增强的无源无监督域适应框架：基于预测编码和测试时训练的跨数据集脑电情感识别

Md Niaz Imtiaz, Naimul Khan

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP

AI总结 提出一种无源无监督域适应框架，通过非对比预测编码自监督预训练和双阶段自适应优化（多损失自适应正则化与局部一致性学习），结合轻量测试时训练，解决跨数据集脑电情感识别中的域偏移和噪声伪标签问题。

Comments Under review

EEG-Bench: A Benchmark for EEG Foundation Models in Clinical Applications

EEG-Bench: 一个用于临床应用中EEG基础模型的基准测试

Ard Kastrati, Josua Bürki, Jonas Lauer, Cheng Xuan, Raffaele Iaquinto, Roger Wattenhofer

机构 * ETH Zurich（苏黎世联邦理工学院） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

AI总结 EEG-Bench为临床应用中的EEG基础模型提供了一个统一的基准测试框架，评估了11个诊断任务，并展示了简单模型在临床分布偏移下的竞争力。

Comments Foundation Models for the Brain and Body (BrainBodyFM@NeurIPS)

DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition

Fo Hu, Can Wang, Qinxu Zheng, Xusheng Yang, Bin Zhou, Gang Li, Yu Sun, Wen-an Zhang

机构 * College of Information Engineering, Zhejiang University of Technology（浙江工业大学信息工程学院） ； Institute of Wenzhou, Zhejiang University（浙江大学温州市研究院） ； College of Mathematical Medicine, Zhejiang Normal University（浙江师范大学数学医学学院） ； Key Laboratory for Biomedical Engineering of MOE of China, Department of Biomedical Engineering, Zhejiang University（中国教育部生物医学工程重点实验室，浙江大学生物医学工程学院） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

Comments 14 pages, 9 figures

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition

Huan Liu, Shusen Yang, Yuzhe Zhang, Mengze Wang, Fanyu Gong, Chengxi Xie, Guanjian Liu, Zejun Liu, Yong-Jin Liu, Bao-Liang Lu, Dalin Zhang

机构 * School of Computer Science and Technology, Xi’an Jiaotong University（西安交通大学计算机科学与技术学院） ； School of Software Engineering, Xi’an Jiaotong University（西安交通大学软件工程学院） ； Joint School of Design and Innovation, Xi’an Jiaotong University（西安交通大学联合设计与创新学院） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Department of Computer Science and Engineering, Shanghai Jiao Tong University（上海交通大学计算机科学与工程系） ； Space Information Research Institute, Hangzhou Dianzi University（杭州电子科技大学空间信息研究所） 纠错

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.HC

NeuGaze: Reshaping the future BCI

Yiqian Yang

机构 * Yiqian Yang（第1作者） 纠错

专题命中 BCI数据与评测 ：BCI(title)；brain-computer interface(abstract)；分类 cs.HC

Cross-Subject Domain Adaptation for Classifying Working Memory Load with Multi-Frame EEG Images

Junfu Chen, Sirui Li, Dechang Pi

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition

Yuan Liao, Yuhong Zhang, Shenghuan Wang, Xiruo Zhang, Yiling Zhang, Wei Chen, Yuzhe Gu, Liya Huang

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology

Xiaying Wang, Lan Mei, Victor Kartsch, Andrea Cossettini, Luca Benini

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP

Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning

Mohammad-Javad Darvishi-Bayazi, Mohammad Sajjad Ghaemi, Timothee Lesort, Md Rifat Arefin, Jocelyn Faubert, Irina Rish

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

Automatic Control of Reactive Brain Computer Interfaces

Pex Tufvesson, Frida Heskebeck

专题命中 BCI数据与评测 ：brain computer interface(title,abstract)；分类 cs.HC

Comments The authors contributed equally and share first authorship

Multi-Subdomain Adversarial Network for Cross-Subject EEG-based Emotion Recognition

Guang Lin, Jianhai Zhang

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.HC

Co-Design with Myself: A Brain-Computer Interface Design Tool that Predicts Live Emotion to Enhance Metacognitive Monitoring of Designers

Qi Yang, Shuo Feng, Tianlin Zhao, Saleh Kalantari

专题命中 BCI数据与评测 ：brain-computer interface(title)；BCI(abstract)；分类 cs.HC

A Survey on Brain-Computer Interface and Related Applications

Krishna Pai, Rakhee Kallimani, Sridhar Iyer, B. Uma Maheswari, Rajashri Khanai, Dattaprasad Torse

专题命中 BCI数据与评测 ：brain-computer interface(title)；BCI(abstract)；分类 cs.HC

Journal ref Machine Intelligence for Internet of Medical Things: Applications and Future Trends, Computational Intelligence for Data Analysis (2023) 2:210-228 (19)

EEGdenoiseNet: A benchmark dataset for end-to-end deep learning solutions of EEG denoising

Haoming Zhang, Mingqi Zhao, Chen Wei, Dante Mantini, Zherui Li, Quanying Liu

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP

MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition

Hao Chen, Ming Jin, Zhunan Li, Cunhang Fan, Jinpeng Li, Huiguang He

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

Comments 10 pages, 8 figures

Machine Learning for removing EEG artifacts: Setting the benchmark

Subhrajit Roy

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP

Comments 2 pages

Benchmarking Decoupled Neural Interfaces with Synthetic Gradients

Ekaba Bisong

专题命中 BCI数据与评测 ：neural interface(title,abstract)；分类 cs.LG

Comments Serious issues with the content and not appropriate for high-level academic distribution

ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks

Junyan Li, Bin Hu, Zhi-Hong Guan

专题命中 BCI数据与评测 ：BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、cs.LG

Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data

Christian Kothe, Grant Hanada, Sean Mullen, Tim Mullen

专题命中 BCI数据与评测 ：BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)；分类 eess.SP、cs.LG

Comments 29 pages, 9 figures. Under review

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention

Pierre Guetschel, Thomas Moreau, Michael Tangermann

专题命中 BCI数据与评测 ：BCI(abstract)；EEG(abstract)；motor imagery(abstract)；分类 cs.LG

Journal ref 9th Graz Brain-Computer Interface Conference (2024) 11-16

fMRI2Face: A Full-HD fMRI-Video Dataset and Geometry-Guided Neural Decoding Framework for Dynamic Human Face Reconstruction

fMRI2Face：用于动态人脸重建的全高清功能磁共振成像视频数据集和几何引导神经解码框架

Jingyang Huo, Xiangru Huang, Chentao Shen, Yikai Wang, Yun Wang, Jianxiong Gao, Shihao Jin, Yanwei Fu, Jianfeng Feng

机构 * Fudan University（复旦大学） ； Westlake University（西湖大学） ； Zhejiang University（浙江大学） ； Nanyang Technological University（南洋理工大学） ； Xmov（未提及通用中文名，可音译为艾莫夫） 纠错

专题命中 BCI数据与评测 ：neural decoding(title,abstract)

AI总结 该研究提出fMRI-Face数据集及fMRI2Face框架，用于从大脑活动重建动态人脸。框架从大脑活动中获取两种互补神经控制，经整合实现高保真面部视频重建，实验显示其性能优于基线，为动态面部感知研究提供了新平台和基准。

Exploring The Visual Feature Space for Multimodal Neural Decoding

Weihao Xia, Cengiz Oztireli

机构 * University of Cambridge（剑桥大学） 纠错

专题命中 BCI数据与评测 ：neural decoding(title,abstract)

Comments Project: https://weihaox.github.io/VINDEX

Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding

Francesca Rivelli, Martin Popov, Charalampos S. Kouzinopoulos, Guangzhi Tang

专题命中 BCI数据与评测 ：neural decoding(title,abstract)

Comments Accepted by EMBC 2025

Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis

Lorenzo Lasagni, Antonio Ciccarone, Renzo Guerrini, Matteo Lenge, Ludovico D'incerti

专题命中 BCI数据与评测 ：cortical(title,abstract)

FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition

Haiqi Liu, C. L. Philip Chen, Tong Zhang

专题命中 BCI数据与评测 ：EEG(title,abstract)

Comments Under Review

On the BCI Problem

Ted Dobson, Gregory Robson

专题命中 BCI数据与评测 ：BCI(title,abstract)

Ordered homomorphisms and kernels of ordered BCI-algebras

Eunsuk Yang, Eun Hwan Roh, Young Bae Jun

专题命中 BCI数据与评测 ：BCI(title,abstract)