Research map: Principal time–frequency component analysis for interpretable motor imagery BCIs

Back to the article

Papers in this map

  1. Brain–computer interfaces for communication and control · Jonathan R. Wolpaw · 2002 · 7962 citations · Cited by this paper
  2. Physical PPG signal synthesis via reinforcement learning-based LED control · 2026 · Related
  3. EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces · Vernon J Lawhern · 2018 · 4748 citations · Cited by this paper
  4. HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling · 2026 · Related
  5. Deep learning with convolutional neural networks for EEG decoding and visualization · Robin Tibor Schirrmeister · 2017 · 3780 citations · Cited by this paper
  6. PRISM-FedSeg: enhancing medical image segmentation through self-supervised federated learning with privacy preservation · 2026 · Related
  7. Optimizing Spatial filters for Robust EEG Single-Trial Analysis · Benjamin Blankertz · 2008 · 2109 citations · Cited by this paper
  8. Desynchronization Index: A new connectivity approach for exploring epileptogenic networks · 2026 · Related
  9. EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization · Yonghao Song · 2022 · 1075 citations · Cited by this paper
  10. A unified framework for integrated prediction and personalized management of hormonal and mental health disorders · 2026 · Related
  11. EMG and EOG artifacts in brain computer interface systems: A survey · Mehrdad Fatourechi · 2006 · 639 citations · Cited by this paper
  12. SHHN: A Sequential Hierarchy Hybrid Network for multimodal cancer survival prediction · 2026 · Related
  13. EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges · Natasha Padfield · 2019 · 615 citations · Cited by this paper
  14. EMG-derived chaotic feature-based induced pain assessment technique using CNN architecture · 2026 · Related
  15. EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy · Min-Ho Lee · 2019 · 600 citations · Cited by this paper
  16. A hybrid convolutional neural-transformer framework with center-based separation index pruning for depression detection from electroencephalography signals · 2026 · Related
  17. EEG datasets for motor imagery brain–computer interface · Hohyun Cho · 2017 · 363 citations · Cited by this paper
  18. Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases · 2026 · Related
  19. EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century · Ioulietta Lazarou · 2018 · 343 citations · Cited by this paper
  20. J-RAS: Mutual adaptation for medical image segmentation via contrastive retrieval-augmented joint optimization · 2026 · Related
  21. Correlation-based channel selection and regularized feature optimization for MI-based BCI · Jing Jin · 2019 · 343 citations · Cited by this paper
  22. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI · Yu Zhang · 2018 · 341 citations · Cited by this paper
  23. A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain–Computer Interfaces · Kavitha P. Thomas · 2009 · 326 citations · Cited by this paper
  24. A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI · Pramod Gaur · 2021 · 285 citations · Cited by this paper
  25. Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface · Yu Zhang · 2015 · 276 citations · Cited by this paper
  26. A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller · Erwei Yin · 2014 · 255 citations · Cited by this paper
  27. A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm · Erwei Yin · 2013 · 226 citations · Cited by this paper
  28. Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing · Jing Jin · 2020 · 144 citations · Cited by this paper
  29. IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG · Jiaheng Wang · 2023 · 144 citations · Cited by this paper
  30. FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding · Ke Liu · 2022 · 143 citations · Cited by this paper
  31. Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification · Yangyang Miao · 2021 · 137 citations · Cited by this paper
  32. A Temporal Dependency Learning CNN With Attention Mechanism for MI-EEG Decoding · Xinzhi Ma · 2023 · 93 citations · Cited by this paper
  33. Attention-based convolutional neural network with multi-modal temporal information fusion for motor imagery EEG decoding · Xinzhi Ma · 2024 · 68 citations · Cited by this paper
  34. Multi-View Multi-Scale Optimization of Feature Representation for EEG Classification Improvement · Yong Jiao · 2020 · 45 citations · Cited by this paper
  35. Multiscale time-frequency method for multiclass Motor Imagery Brain Computer Interface · Guoyang Liu · 2022 · 39 citations · Cited by this paper
  36. Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification · Liangsheng Zheng · 2022 · 25 citations · Cited by this paper
  37. A novel consistency-based training strategy for seizure prediction · Liang Deng · 2022 · 9 citations · Cited by this paper

Source: OpenAlex (CC0)