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Enhancing Real-Time Online Motor Imagery Bci Performance: A Co-Adaptive Meta-Learning Approach

https://doi.org/10.2139/ssrn.4719917

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep learning with convolutional neural networks for EEG decoding and visualization

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Large-Scale Machine Learning with Stochastic Gradient Descent

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An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology

inferredcites →https://doi.org/10.1007/s11517-019-02047-1openalex-extracted

Direct comparison of supervised and semi-supervised retraining approaches for co-adaptive BCIs

inferredcites →https://doi.org/10.1016/j.bspc.2020.102172openalex-extracted

Deep learning for motor imagery EEG-based classification: A review

inferredcites →https://doi.org/10.1016/j.bspc.2021.102608openalex-extracted

Motor imagery EEG signal classification using upper triangle filter bank auto-encode method

inferredcites →https://doi.org/10.1016/j.bspc.2022.104051openalex-extracted

Excellent fine-tuning: From specific-subject classification to cross-task classification for motor imagery

inferredcites →https://doi.org/10.1016/j.chb.2023.107789openalex-extracted

Long-term kinesthetic motor imagery practice with a BCI: Impacts on user experience, motor cortex oscillations and BCI performances

inferredcites →https://doi.org/10.1016/j.clinph.2007.04.019openalex-extracted

Updating P300: An integrative theory of P3a and P3b

inferredcites →https://doi.org/10.1016/j.jneumeth.2015.01.033openalex-extracted

Performance variation in motor imagery brain–computer interface: A brief review

inferredcites →https://doi.org/10.1016/j.neunet.2020.11.002openalex-extracted

An EEG channel selection method for motor imagery based brain–computer interface and neurofeedback using Granger causality

inferredcites →https://doi.org/10.1016/j.neunet.2020.12.013openalex-extracted

Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network

inferredcites →https://doi.org/10.1016/j.neunet.2021.10.004openalex-extracted

Meta-learning, social cognition and consciousness in brains and machines

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A novel semi-supervised meta learning method for subject-transfer brain–computer interface

inferredcites →https://doi.org/10.1016/s1388-2457(99)00141-8openalex-extracted

Event-related EEG/MEG synchronization and desynchronization: basic principles

inferredcites →https://doi.org/10.1088/1741-2552/aab2f2openalex-extracted

A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

inferredcites →https://doi.org/10.1088/1741-2552/abf397openalex-extracted

A comfortable steady state visual evoked potential stimulation paradigm using peripheral vision

inferredcites →https://doi.org/10.1088/1741-2552/abf8cbopenalex-extracted

A brain-actuated robotic arm system using non-invasive hybrid brain–computer interface and shared control strategy

inferredcites →https://doi.org/10.1088/1741-2552/ac1ed0openalex-extracted

Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network

inferredcites →https://doi.org/10.1088/1741-2552/ac7ba8openalex-extracted

A meta-learning BCI for estimating decision confidence

inferredcites →https://doi.org/10.1088/1741-2552/acfe9copenalex-extracted

Cross-dataset transfer learning for motor imagery signal classification via multi-task learning and pre-training

inferredcites →https://doi.org/10.1088/1741-2560/3/4/007openalex-extracted

A comparison of classification techniques for the P300 Speller

inferredcites →https://doi.org/10.1088/1741-2560/8/2/025009openalex-extracted

Co-adaptive calibration to improve BCI efficiency

inferredcites →https://doi.org/10.1088/1741-2560/8/2/025013openalex-extracted

Conditional random fields as classifiers for three-class motor-imagery brain–computer interfaces

inferredcites →https://doi.org/10.1093/biomet/52.1-2.203openalex-extracted

A Generalized Wilcoxon Test for Comparing Arbitrarily Singly-Censored Samples

inferredcites →https://doi.org/10.1093/gigascience/giz002openalex-extracted

EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

inferredcites →https://doi.org/10.1109/86.847808openalex-extracted

The mental prosthesis: assessing the speed of a P300-based brain-computer interface

inferredcites →https://doi.org/10.1109/ijcnn.1991.155621openalex-extracted

Learning a synaptic learning rule

inferredcites →https://doi.org/10.1109/ijcnn.1992.287172openalex-extracted

Meta-neural networks that learn by learning

inferredcites →https://doi.org/10.1109/iros45743.2020.9340933openalex-extracted

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification

inferredcites →https://doi.org/10.1109/ner49283.2021.9441077openalex-extracted

Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing

inferredcites →https://doi.org/10.1109/tbme.2017.2694818openalex-extracted

Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis

inferredcites →https://doi.org/10.1109/tbme.2021.3049853openalex-extracted

A Maximum Likelihood Perspective of Spatial Filter Design in SSVEP-Based BCIs

inferredcites →https://doi.org/10.1109/tbme.2022.3168570openalex-extracted

Privacy-Preserving Domain Adaptation for Motor Imagery-Based Brain-Computer Interfaces

inferredcites →https://doi.org/10.1109/tcyb.2021.3073210openalex-extracted

Motor-Imagery-Based Brain–Computer Interface Using Signal Derivation and Aggregation Functions

inferredcites →https://doi.org/10.1109/tnnls.2021.3083650openalex-extracted

Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition

inferredcites →https://doi.org/10.1109/tnsre.2023.3259730openalex-extracted

MDTL: A Novel and Model-Agnostic Transfer Learning Strategy for Cross-Subject Motor Imagery BCI

inferredcites →https://doi.org/10.1109/tnsre.2023.3329059openalex-extracted

An Upper-Limb Rehabilitation Exoskeleton System Controlled by MI Recognition Model With Deep Emphasized Informative Features in a VR Scene

inferredcites →https://doi.org/10.1162/neco.1992.4.1.131openalex-extracted

Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks

inferredcites →https://doi.org/10.1371/journal.pone.0101168openalex-extracted

A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment

inferredcites →https://doi.org/10.3389/fnhum.2019.00362openalex-extracted

Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training

inferredcites →https://doi.org/10.3389/fnhum.2023.1134869openalex-extracted

Review of public motor imagery and execution datasets in brain-computer interfaces

inferredcites →https://doi.org/10.3389/fnins.2012.00039openalex-extracted

Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b

inferredcites →https://doi.org/10.3389/fnins.2012.00055openalex-extracted

Review of the BCI Competition IV

inferredcites →https://doi.org/10.4324/9780203773833-22openalex-extracted

On the Optimization of a Synaptic Learning Rule

inferredcites →https://doi.org/10.48550/arxiv.1410.5401openalex-extracted

Neural Turing Machines

inferredcites →https://doi.org/10.48550/arxiv.1606.04080openalex-extracted

Matching Networks for One Shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1606.04474openalex-extracted

Learning to learn by gradient descent by gradient descent

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-extracted

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1711.04043openalex-extracted

Few-Shot Learning with Graph Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1803.02999openalex-extracted

On First-Order Meta-Learning Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1910.01727openalex-extracted

Generalized Inner Loop Meta-Learning

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