mlsanityData to 14 Oct 2026

Trends in Machine Learning and Electroencephalogram (EEG): A Review for Undergraduate Researchers

arXiv 2307.02819 ↗First posted 6 Jul 2023cs.HC cs.LGcited by 7

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Abstract (arXiv)

This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in the context of Machine Learning. Our focus is on Electroencephalography (EEG) research, highlighting the latest trends as of 2023. The objective is to provide undergraduate researchers with an accessible overview of the BCI field, covering tasks, algorithms, and datasets. By synthesizing recent findings, our aim is to offer a fundamental understanding of BCI research, identifying promising avenues for future investigations.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 13 of its 64 references that are in the map. First posted on arXiv 6 Jul 2023.

Builds on

13 of 64 references.

References · 13

  1. 2021BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG datacited by 199
  2. 2019Deep learning-based electroencephalography analysis: a systematic reviewcited by 156
  3. 2023Machine Learning for Synthetic Data Generation: A Reviewcited by 120
  4. 2021Transformer-based Spatial-Temporal Feature Learning for EEG Decodingcited by 97
  5. 2022EEG based Emotion Recognition: A Tutorial and Reviewcited by 43
  6. 2021EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Predictioncited by 21
  7. 2019BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Gradingcited by 15
  8. 2023Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5cited by 14
  9. 2020Deep Learning in EEG: Advance of the Last Ten-Year Critical Periodcited by 10
  10. 2022Efficacy of Transformer Networks for Classification of Raw EEG Datacited by 9
  11. 2022Time Majority Voting, a PC-based EEG Classifier for Non-expert Userscited by 7
  12. 2020Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Gradingcited by 6
1 more
  1. 2022BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Studentscited by 6

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 6.

7 papers.

  1. 2023ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Datacited by 7
  2. 2024Fusing Pretrained ViTs with TCNet for Enhanced EEG Regressioncited by 2
  3. 2024AnoGAN for Tabular Data: A Novel Approach to Anomaly Detectioncited by 1
  4. 2024Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-Processingcited by 1
  5. 2024EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architecturescited by 0
  6. 2024Integrating HCI Datasets in Project-Based Machine Learning Courses: A College-Level Review and Case Studycited by 0
  7. 2024Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Datacited by 0