Electroencephalogram (EEG)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

7 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 378 papers with code (1,655 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.

• SGDR: Stochastic Gradient Descent with Warm Restarts
  13 Aug 2016 24 repositories listed Syntology ran 10 of 17 samples · 7 unverified · 7 pointer-only (licence)
  Partial warm restarts are also gaining popularity in gradient-based optimization to improve the rate of convergence in accelerated gradient schemes to deal with ill-conditioned functions.
• EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
  23 Nov 2016 11 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 1 pointer-only (licence)
  We introduce the use of depthwise and separable convolutions to construct an EEG-specific model which encapsulates well-known EEG feature extraction concepts for BCI.
• Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
  19 Nov 2015 11 repositories listed
  One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with…
• DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
  12 Mar 2017 8 repositories listed Syntology ran 0 of 33 samples · 33 unverified
  This demonstrated that, without changing the model architecture and the training algorithm, our model could automatically learn features for sleep stage scoring from different raw single-channel EEGs from different…
• EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
  6 Nov 2021 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We present a new dataset and benchmark with the goal of advancing research in the intersection of brain activities and eye movements.
• U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
  24 Oct 2019 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  We propose U-Time, a fully feed-forward deep learning approach to physiological time series segmentation developed for the analysis of sleep data.
• EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
  18 Jul 2019 5 repositories listed
  Finally, investigations on the neuronal activities reveal important brain regions and inter-channel relations for EEG-based emotion recognition.
• Deep learning with convolutional neural networks for EEG decoding and visualization
  15 Mar 2017 5 repositories listed
  PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary.
• An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
  18 Dec 2016 5 repositories listed
  Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent…
• Decoding Natural Images from EEG for Object Recognition
  25 Aug 2023 4 repositories listed Syntology ran 7 of 12 samples · 5 unverified
  This paper presents a self-supervised framework to demonstrate the feasibility of learning image representations from EEG signals, particularly for object recognition.
• 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.
• Advancing NLP with Cognitive Language Processing Signals
  4 Apr 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Cognitive language processing data such as eye-tracking features have shown improvements on single NLP tasks.
• SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
  8 Mar 2019 3 repositories listed
  Automatic classification of epileptic seizure types in electroencephalograms (EEGs) data can enable more precise diagnosis and efficient management of the disease.
• SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
  5 Mar 2019 3 repositories listed
  Electroencephalogram (EEG) is a common base signal used to monitor brain activity and diagnose sleep disorders.
• Deep learning-based electroencephalography analysis: a systematic review
  16 Jan 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  To help the field progress, we provide a list of recommendations for future studies and we make our summary table of DL and EEG papers available and invite the community to contribute.
• Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise
  4 Jun 2018 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  We introduce coroICA, confounding-robust independent component analysis, a novel ICA algorithm which decomposes linearly mixed multivariate observations into independent components that are corrupted (and rendered…
• Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs
  2 Feb 2016 3 repositories listed
  Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities.
• Artificial Intelligence for EEG Prediction: Applied Chaos Theory
  3 Oct 2023 2 repositories listed
  In the present research, we delve into the intricate realm of electroencephalogram (EEG) data analysis, focusing on sequence-to-sequence prediction of data across 32 EEG channels.
• ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data
  1 Aug 2023 2 repositories listed
  In this study, we demonstrate the application of a hybrid Vision Transformer (ViT) model, pretrained on ImageNet, on an electroencephalogram (EEG) regression task.
• 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…
• clusterBMA: Bayesian model averaging for clustering
  9 Sep 2022 2 repositories listed
  In this work we introduce clusterBMA, a method that enables weighted model averaging across results from multiple unsupervised clustering algorithms.
• 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.
• Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs
  21 Apr 2022 2 repositories listed
  Here, we present a new method for detecting a single changepoint in a linear time series regression model, termed residuals permutation-based method (RESPERM).
• 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.
• Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model
  17 Jun 2021 2 repositories listed
  Decoding the speech signal that a person is listening to from the human brain via electroencephalography (EEG) can help us understand how our auditory system works.
• 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.

Syntology lines on 10 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.