Brain Computer Interface

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 112 papers with code (466 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability
  29 Mar 2023 3 repositories listed
  By incorporating two novel attention modules designed specifically for EEG signals, the channel attention module and the depth attention module, LMDA-Net can effectively integrate features from multiple dimensions,…
• Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
  19 Feb 2022 3 repositories listed
  Compared to the vanilla EEGNet and ConvNet, the proposed SDDA framework was able to boost the MI classification accuracy by 15.
• Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
  11 Jun 2021 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  As far as we know, it is the first time that a detailed and complete method based on the transformer idea has been proposed in this field.
• NeuSpeech: Decode Neural signal as Speech
  4 Mar 2024 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified
  In this paper, we explore the brain-to-text translation of MEG signals in a speech-decoding formation.
• EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms
  17 Oct 2023 2 repositories listed
  The objective of this study is to investigate the application of various channel attention mechanisms within the domain of brain-computer interface (BCI) for motor imagery decoding.
• Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
  10 Mar 2023 2 repositories listed
  When dealing with electro or magnetoencephalography records, many supervised prediction tasks are solved by working with covariance matrices to summarize the signals.
• Closed loop BCI System for Cybathlon 2020
  8 Dec 2022 2 repositories listed
  To extract the final features, we introduced two methods, namely the Feature Average, where the average of the FFTabs for a specific frequency band was calculated, and the Feature Range, which was based on generating…
• Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study
  4 Nov 2022 2 repositories listed
  Speeding up the spelling in event-related potentials (ERP) based Brain-Computer Interfaces (BCI) requires eliciting strong brain responses in a short span of time, as much as the accurate classification of such evoked…
• A Transformer-based deep neural network model for SSVEP classification
  9 Oct 2022 2 repositories listed
  The proposed model validates the feasibility of deep learning models based on Transformer structure for SSVEP classification task, and could serve as a potential model to alleviate the calibration procedure in the…
• Physics-inform attention temporal convolutional network for EEG-based motor imagery classification
  1 Aug 2022 2 repositories listed
  In this paper, we propose an attention-based temporal convolutional network (ATCNet) for EEG-based motor imagery classification.
• BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System
  4 Mar 2022 2 repositories listed
  Commonly used EEG acquisition system's hardware and software are usually closed-source.
• CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet
  17 May 2021 2 repositories listed
  In this paper, we first present a review of the most recent studies using deep learning for MI classification, with particular attention to their cross-subject performance.
• LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
  5 May 2021 2 repositories listed
  It captures temporal dynamics of EEG which then serves as input to the proposed local and global graph-filtering layers.
• PhyAAt: Physiology of Auditory Attention to Speech Dataset
  23 May 2020 2 repositories listed
  In this article, we present a dataset of physiological signals collected from an experiment on auditory attention to natural speech.
• Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features
  18 Jun 2018 2 repositories listed
  Accurate, fast, and reliable multiclass classification of electroencephalography (EEG) signals is a challenging task towards the development of motor imagery brain-computer interface (MI-BCI) systems.
• Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
  26 Sep 2017 2 repositories listed
  An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to communicate with the outside world by interpreting the EEG signals of their brains to interact with devices such as wheelchairs and…
• Using Riemannian geometry for SSVEP-based Brain Computer Interface
  14 Jan 2015 2 repositories listed
  Riemannian geometry has been applied to Brain Computer Interface (BCI) for brain signals classification yielding promising results.
• AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
  26 Jun 2025 1 repository listed
  Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their environment on equal footing.
• TCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG Decoding
  15 Jun 2025 1 repository listed
  This study proposes the Temporal Convolutional Attention Network (TCANet), a novel end-to-end model that hierarchically captures spatiotemporal dependencies by progressively integrating local, fused, and global features.
• Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
  9 Jun 2025 1 repository listed
  In Brain-Computer Interface (BCI) research, the detailed study of blinks is crucial.
• Multi-scale convolutional transformer network for motor imagery brain-computer interface
  15 Apr 2025 1 repository listed
  However, traditional CNN-based methods face challenges such as individual variability in EEG signals and the limited receptive fields of CNNs.
• Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
  7 Mar 2025 1 repository listed
  A non-invasive brain-computer interface (BCI) enables direct interaction between the user and external devices, typically via electroencephalogram (EEG) signals.
• MVCNet: Multi-View Contrastive Network for Motor Imagery Classification
  18 Feb 2025 1 repository listed
  Two contrastive modules are further introduced: a cross-view contrastive module that enforces consistency of original and augmented views, and a cross-model contrastive module that aligns features extracted from both…
• Minima Possible Weights: A Homogenous Deep Ensemble Method for Cross-Subject Motor Imagery Classification
  18 Feb 2025 1 repository listed
  We evaluated MPW against various ensemble learning and test-time adaptation methods using two benchmark datasets: BCI Competition IV Dataset 2a and PhysionetMI.
• CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks
  12 Feb 2025 1 repository listed
  The Rapid Serial Visual Presentation (RSVP) paradigm represents a promising application of electroencephalography (EEG) in Brain-Computer Interface (BCI) systems.
• Decoding Human Attentive States from Spatial-temporal EEG Patches Using Transformers
  6 Feb 2025 1 repository listed
  Learning the spatial topology of electroencephalogram (EEG) channels and their temporal dynamics is crucial for decoding attention states.
• Improving SSVEP BCI Spellers With Data Augmentation and Language Models
  28 Dec 2024 1 repository listed
  Steady-State Visual Evoked Potential (SSVEP) spellers are a promising communication tool for individuals with disabilities.
• Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer Interfaces
  10 Dec 2024 1 repository listed
  To our knowledge, this is the first study on adversarial filtering for EEG-based BCIs, raising a new security concern and calling for more attention on the security of BCIs.
• T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
  10 Dec 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Significance: To our knowledge, this is the first work on test time adaptation for calibration-free EEG-based BCIs, making plug-and-play BCIs possible.
• Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
  2 Dec 2024 1 repository listed
  Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.