脑机接口 / BCI

Does brain activity stem from high-dimensional chaotic dynamics? Evidence from the human electroencephalogram, cat cerebral cortex and artificial neuronal networks

Sami El Boustani, Alain Destexhe

专题命中 EEG解码 ：EEG(abstract)

Comments 12 figures, submitted to International Journal of Bifurcation and Chaos

A non subjective approach to the GP algorithm for analysing noisy time series

K. P. Harikrishnan, R. Misra, G. Ambika, A. K. Kembhavi

专题命中 EEG解码 ：EEG(abstract)

Comments Accepted for publication in Physica D. A numerical code which implements the scheme is available at http://www.iucaa.ernet.in/~rmisra/NLD

Journal ref PhysicaD215:137-145,2006

Conditionally Gaussian Hypermodels for Cerebral Source Localization

Daniela Calvetti, Harri Hakula, Sampsa Pursiainen, Erkki Somersalo

专题命中 EEG解码 ：EEG(abstract)

Comments 30 pages

Model human heart or brain signals

Caglar Tuncay

专题命中 EEG解码 ：EEG(abstract)

Noncommutative Gorenstein Projective Schemes and Gorenstein-Injective Sheaves

Xiao-Wu Chen

专题命中 EEG解码 ：EEG(abstract)

Comments Comments are welcome

Coincident Frequencies and Relative Phases Among Female-Brain Signals and Progesterone-Estrogen levels

Silvia Solis Ortiz, Rafael G. Campos, Julian Felix, Octavio Obregon

专题命中 EEG解码 ：EEG(abstract)

Comments Reasearch results currently on publication

Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators

Lester Ingber

专题命中 EEG解码 ：EEG(abstract)

First human trials of a dry electrophysiology sensor using a carbon nanotube array interface

G. Ruffini, S. Dunne, L. Fuentemilla, C. Grau, E. Farres, J. Marco-Pallares, P. C. P. Watts, S. R. P. Silva

专题命中 EEG解码 ：EEG(abstract)

A new measure of phase synchronization for a pair of time series and seizure focus localization

Kaushik Majumdar

专题命中 EEG解码 ：EEG(abstract)

Comments 22 pages, 3 figures. A much more elaborate version with application

Ideas by Statistical Mechanics (ISM)

Lester Ingber

专题命中 EEG解码 ：EEG(abstract)

Niederhauser's model for epilepsy and wavelet methods

J. P. Trevino, V. H. Castillo, H. C. Rosu, J. L. Moran, J. S. Murguia

专题命中 EEG解码 ：EEG(abstract)

Comments 9 pages, 5 figs, contribution at the Zacatecas miniworkshop organized by V. Dvoeglazov et al (1-2 Dec. 2005)

Journal ref Electromagnetic Phenomena 6(2) 212-216 (2006)

Scaling of the Background Brain Dynamics and Alpha Rhythm

Der Chyan Lin, Asif Sharif, Hon Kwan

专题命中 EEG解码 ：EEG(abstract)

Comments 12 pages, 5 figures

Does Consciousness Collapse the Wave Function

Dick J. Bierman

专题命中 EEG解码 ：EEG(abstract)

Comments 11 pages, 4 figures, 1 table

Journal ref Mind and Matter, Vol.1, 45-57 (2003)

Bayesian Source Separation and Localization

Kevin H. Knuth

专题命中 EEG解码 ：EEG(abstract)

Comments 12 pages, 3 figures

Journal ref In: A. Mohammad-Djafari (ed.), SPIE'98 Proceedings: Bayesian Inference for Inverse Problems, SPIE Vol. 3459, San Diego, July 1998, pp. 147-158

Statistical mechanics of neocortical interactions: Reaction time correlates of the g factor

Lester Ingber

专题命中 EEG解码 ：EEG(abstract)

Comments 11 PostScript pages

Synchronization and clustering in electroencephalographic signals

M. Escalona-Moran, M. G. Cosenza, P. Guillen, P. Coutin

专题命中 EEG解码 ：EEG(abstract)

Comments 11 pages, 4 figures

An Evolving Cascade Neural Network Technique for Cleaning Sleep Electroencephalograms

Vitaly Schetinin

专题命中 EEG解码 ：EEG(abstract)

Journal ref Natural Computing Application, 2005

Neural-Network Techniques for Visual Mining Clinical Electroencephalograms

Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov

专题命中 EEG解码 ：EEG(abstract)

A Learning Algorithm for Evolving Cascade Neural Networks

Vitaly Schetinin

专题命中 EEG解码 ：EEG(abstract)

Journal ref Neural Processing Letter 17:21-31, 2003. Kluwer

Learning Polynomial Networks for Classification of Clinical Electroencephalograms

Vitaly Schetinin, Joachim Schult

专题命中 EEG解码 ：EEG(abstract)

Journal ref J Soft Computing 2005

Quantification of depth of anesthesia by nonlinear time series analysis of brain electrical activity

G. Widman, T. Schreiber, B. Rehberg, A. Hoeft, C. E. Elger

专题命中 EEG解码 ：EEG(abstract)

Comments 7 pages, 5 figures

Event synchronization: a simple and fast method to measure synchronicity and time delay patterns

R. Quian Quiroga, T. Kreuz, P. Grassberger

专题命中 EEG解码 ：EEG(abstract)

Comments 6 pages, including 6 figures, RevTeX

Obtaining single stimulus evoked potentials with Wavelet Denoising

R. Quian Quiroga

专题命中 EEG解码 ：EEG(abstract)

Comments 32 pages with additional 5 figures (4 in color) Accepted for publication in Physica D

Journal ref Physica D, 2000; 145: 278-292

A Simple Chaotic Neuron Model : Stochastic Behavior of Neural Networks

Ekrem Aydiner, Adil M. Vural, Bekir Ozcelik, Kerim Kiymac, Uner Tan

专题命中 EEG解码 ：EEG(abstract)

Comments 14 pages, 6 figures

Journal ref Intern. J. Neuroscience Vol: 113, 607-619, 2003

BCI-sift: An automated feature selection toolbox for Brain Computer Interface applications

BCI-sift: 一种用于脑机接口应用的自动化特征选择工具箱

Elena C Offenberg, Dirk Keller, Mariska J Vansteensel, Zachary V Freudenburg, Nick F Ramsey, Julia Berezutskaya

机构 * Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University（神经学与神经外科学系，乌得勒支大学医学中心脑研究中心，乌得勒支大学） ； Donders Institute for Brain, Cognition and Behaviour, Radboud University（脑、认知与行为研究所，拉德堡德大学） 纠错

专题命中 神经信号处理 ：BCI(title,title_cn)；brain computer interface(title)；brain-computer interface(abstract)；分类 q-bio.NC、cs.LG

AI总结 本文提出BCI-sift工具箱，通过整合先进优化方法，为脑机接口任务提供自动化特征选择解决方案，提升了分类准确性和解释性。

Comments 19 pages, 12 figures

Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG

Brain-OF：一种适用于fMRI、EEG和MEG的多功能基础模型

Hanning Guo, Hanwen Bi, Farah Abdellatif, Andrei Galbenus, Jon. N. Shah, Abigail Morrison, Jürgen Dammers

机构 * INM-4, Forschungszentrum Jülich, Germany（Jülich 研究中心 INM-4 实验室，德国） ； Department of Computer Science（计算机科学系） ； Software Engineering, RWTH Aachen University, Germany（软件工程，亚琛工业大学，德国） ； INM-7, Forschungszentrum Jülich, Germany（Jülich 研究中心 INM-7 实验室，德国） ； Institute of Systems Neuroscience, Heinrich Heine University, Germany（系统神经科学研究所，海因里希·海涅大学，德国） ； Department of Neurology, RWTH Aachen University, Germany（神经病学系，亚琛工业大学，德国） ； JARA-BRAIN-Translational Medicine, Germany（JARA-BRAIN 转化医学，德国） ； INM–11, JARA, Forschungszentrum Jülich, Germany（JARA-INM-11 实验室，Jülich 研究中心，德国） ； IAS-6, Forschungszentrum Jülich, Germany（IAS-6 实验室，Jülich 研究中心，德国） ； Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany（精神病学、心理治疗和精神病理学系，亚琛工业大学，德国） 纠错

专题命中 神经信号处理 ：EEG(title,title_cn)；neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

AI总结 Brain-OF通过联合预训练fMRI、EEG和MEG数据，解决多模态数据语义异质性和分辨率差异问题，提升跨模态数据处理能力。

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。

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding

Yu Song, Liyuan Han, Bo Xu, Tielin Zhang

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

Toward 6G-enabled Brain Computer Interfaces: Technical Requirements, Use Cases, Challenges, and Future Trends

迈向6G赋能的脑机接口：技术需求、用例、挑战与未来趋势

Houda Hafi, Bouziane Brik, Nuraini Jamil, Abdelkader Nasreddine Belkacem

专题命中 神经信号处理 ：brain computer interface(title,abstract)；BCI(abstract,abstract_cn)；neural signal(abstract)；neural interface(abstract)

AI总结 本文探讨了如何在6G无线网络基础上有效构建脑机接口技术，分析了技术需求、用例、挑战及未来趋势，强调了6G技术如智能边缘和零触网在脑机接口中的应用前景。

CNNATT: Deep EEG & fNIRS Real-Time Decoding of bimanual forces

Pablo Ortega, Tong Zhao, Aldo Faisal

专题命中 神经信号处理 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)