Cargando…

Multi-Hierarchical Fusion to Capture the Latent Invariance for Calibration-Free Brain-Computer Interfaces

Brain-computer interfaces (BCI) based motor imagery (MI) has become a research hotspot for establishing a flexible communication channel for patients with apoplexy or degenerative pathologies. Accurate decoding of motor imagery electroencephalography (MI-EEG) signals, while essential for effective B...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Jun, Liu, Lintao, Yu, Huijuan, Ma, Zhengmin, Shen, Tao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082749/ https://www.ncbi.nlm.nih.gov/pubmed/35546894 http://dx.doi.org/10.3389/fnins.2022.824471

Ejemplares similares

Calibration-Free Gaze Interfaces Based on Linear Smooth Pursuit
por: Zhe, Zeng, et al.
Publicado: (2020)

Towards calibration-invariant spectroscopy using deep learning
por: Chatzidakis, M., et al.
Publicado: (2019)

Design of multi-target activity landscapes that capture hierarchical activity cliff distributions
por: Dimova, Dilyana, et al.
Publicado: (2012)

An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface
por: Ma, Teng, et al.
Publicado: (2018)

Multi-channel feature fusion attention Dehazing network
por: Zou, Changjun, et al.
Publicado: (2023)

Hand–eye calibration for rigid laparoscopes using an invariant point
por: Thompson, Stephen, et al.
Publicado: (2016)

Calibration Invariance of the MaxEnt Distribution in the Maximum Entropy Principle
por: Korbel, Jan
Publicado: (2021)

Hierarchical Factor Analysis and Factorial Invariance of the Chinese Overparenting Scale
por: Leung, Janet T. Y., et al.
Publicado: (2019)

Synergy of multi-scale toughening and protective mechanisms at hierarchical branch-stem interfaces
por: Müller, Ulrich, et al.
Publicado: (2015)

Design of multi-scale protein complexes by hierarchical building block fusion
por: Hsia, Yang, et al.
Publicado: (2021)

Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event
por: Liao, Zenghua, et al.
Publicado: (2023)

Versatility and Invariance in the Evolution of Homologous Heteromeric Interfaces
por: Andreani, Jessica, et al.
Publicado: (2012)

A Multi-Feature Fusion Slam System Attaching Semantic Invariant to Points and Lines
por: Li, Gang, et al.
Publicado: (2021)

Standardized 3D test object for multi-camera calibration during animal pose capture
por: Hu, Hao, et al.
Publicado: (2023)

The hierarchical organization of the precuneus captured by functional gradients
por: Jiang, Ping, et al.
Publicado: (2023)

Calibration Transfer Based on Affine Invariance for NIR without Transfer Standards
por: Zhao, Yuhui, et al.
Publicado: (2019)

Multi-hierarchical profiling the structure-activity relationships of engineered nanomaterials at nano-bio interfaces
por: Cai, Xiaoming, et al.
Publicado: (2018)

Hierarchical Fusion Using Subsets of Multi-Features for Historical Arabic Manuscript Dating
por: Adam, Kalthoum, et al.
Publicado: (2022)

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification
por: Sekeroglu, Kazim, et al.
Publicado: (2022)

Computational invariant theory
por: Derksen, Harm, et al.
Publicado: (2015)

Computational invariant theory
por: Derksen, Harm, et al.
Publicado: (2002)

A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
por: Salazar-Ramirez, Asier, et al.
Publicado: (2019)

Latent Mycobacterium tuberculosis Infection Is Associated With a Higher Frequency of Mucosal-Associated Invariant T and Invariant Natural Killer T Cells
por: Paquin-Proulx, Dominic, et al.
Publicado: (2018)

Dual attentive fusion for EEG-based brain-computer interfaces
por: Du, Yuanhua, et al.
Publicado: (2022)

Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
por: Karimi-Rouzbahani, Hamid, et al.
Publicado: (2017)

Calibration of the LHCb electromagnetic calorimeter via reconstructing the neutral-pion invariant mass
por: Belyaev, I M, et al.
Publicado: (2015)

Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back
por: Yoshida, Takahiro, et al.
Publicado: (2023)

Dynamic hierarchical multi-scale fusion network with axial MLP for medical image segmentation
por: Cheng, Zhikun, et al.
Publicado: (2023)

Multi-Armed Bandits in Brain-Computer Interfaces
por: Heskebeck, Frida, et al.
Publicado: (2022)

The use of latent variable mixture models to identify invariant items in test construction
por: Sawatzky, Richard, et al.
Publicado: (2017)

Latent structure and measurement invariance of the Hospital Anxiety and Depression Scale in cancer outpatients
por: Zeilinger, Elisabeth L., et al.
Publicado: (2022)

Culture-free perceptual invariant for trustworthiness
por: Mo, Ce, et al.
Publicado: (2022)

Growing interfaces uncover universal fluctuations behind scale invariance
por: Takeuchi, Kazumasa A., et al.
Publicado: (2011)

Conformal invariance: an introduction to loops, interfaces and stochastic Loewner evolution
por: Henkel, Malte, et al.
Publicado: (2012)

Multispectral image fusion for illumination-invariant palmprint recognition
por: Lu, Longbin, et al.
Publicado: (2017)

A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces
por: Khalaf, Aya, et al.
Publicado: (2020)

A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface
por: Huang, Xin, et al.
Publicado: (2021)

Target-Related Alpha Attenuation in a Brain-Computer Interface Rapid Serial Visual Presentation Calibration
por: Klee, Daniel, et al.
Publicado: (2022)

On the Calibration of a Numerical Model for Concrete-to-Concrete Interface
por: Dudziak, Sławomir, et al.
Publicado: (2021)

Chiral invariant phase space event generator: Nuclear muon capture at rest
por: Kossov, M V
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_ff99s1vjt8uf3oufek3trju3v7