{"url":"/task/eeg-1","name":"EEG","slug":"eeg-1","description_markdown":"Electroencephalography epilepsy","categories":[{"name":"Medical","url":"/area/medical"},{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":2431,"papers_with_code":585,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[],"datasets":[{"url":"/dataset/sparcnet","name":"SPaRCNet","full_name":"","num_papers_in_archive":0}],"subtasks":[],"parent_tasks":[{"url":"/task/eeg","name":"Electroencephalogram (EEG)"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":585,"tagged_in_all":2431,"items":[{"url":"/paper/sgdr-stochastic-gradient-descent-with-warm","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","date":"2016-08-13","arxiv_id":"1608.03983","repositories_listed":24,"syntology":{"n":17,"n_ran":10,"n_unverified":7,"n_pointer_only":7}},{"url":"/paper/eegnet-a-compact-convolutional-network-for","title":"EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces","date":"2016-11-23","arxiv_id":"1611.08024","repositories_listed":11,"syntology":{"n":8,"n_ran":1,"n_unverified":7,"n_pointer_only":1}},{"url":"/paper/learning-representations-from-eeg-with-deep","title":"Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks","date":"2015-11-19","arxiv_id":"1511.06448","repositories_listed":11,"syntology":null},{"url":"/paper/deepsleepnet-a-model-for-automatic-sleep","title":"DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG","date":"2017-03-12","arxiv_id":"1703.04046","repositories_listed":8,"syntology":{"n":33,"n_ran":0,"n_unverified":33,"n_pointer_only":0}},{"url":"/paper/eegeyenet-a-simultaneous","title":"EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction","date":"2021-11-06","arxiv_id":"2111.05100","repositories_listed":6,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/u-time-a-fully-convolutional-network-for-time","title":"U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging","date":"2019-10-24","arxiv_id":"1910.11162","repositories_listed":5,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":2}},{"url":"/paper/eeg-based-emotion-recognition-using","title":"EEG-Based Emotion Recognition Using Regularized Graph Neural Networks","date":"2019-07-18","arxiv_id":"1907.07835","repositories_listed":5,"syntology":null},{"url":"/paper/deep-learning-with-convolutional-neural","title":"Deep learning with convolutional neural networks for EEG decoding and visualization","date":"2017-03-15","arxiv_id":"1703.05051","repositories_listed":5,"syntology":null},{"url":"/paper/an-iot-endpoint-system-on-chip-for-secure-and","title":"An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics","date":"2016-12-18","arxiv_id":"1612.05974","repositories_listed":5,"syntology":null},{"url":"/paper/decoding-natural-images-from-eeg-for-object","title":"Decoding Natural Images from EEG for Object Recognition","date":"2023-08-25","arxiv_id":"2308.13234","repositories_listed":4,"syntology":{"n":12,"n_ran":7,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/are-eeg-to-text-models-working","title":"Are EEG-to-Text Models Working?","date":"2024-05-10","arxiv_id":"2405.06459","repositories_listed":3,"syntology":{"n":11,"n_ran":6,"n_unverified":5,"n_pointer_only":11}},{"url":"/paper/szcore-a-seizure-community-open-source","title":"SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms","date":"2024-02-20","arxiv_id":"2402.13005","repositories_listed":3,"syntology":null},{"url":"/paper/gnn4eeg-a-benchmark-and-toolkit-for","title":"GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network","date":"2023-09-27","arxiv_id":"2309.15515","repositories_listed":3,"syntology":null},{"url":"/paper/time-space-frequency-feature-fusion-for-3","title":"Time-space-frequency feature Fusion for 3-channel motor imagery classification","date":"2023-04-04","arxiv_id":"2304.01461","repositories_listed":3,"syntology":null},{"url":"/paper/lmda-net-a-lightweight-multi-dimensional","title":"LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretability","date":"2023-03-29","arxiv_id":"2303.16407","repositories_listed":3,"syntology":null},{"url":"/paper/priming-cross-session-motor-imagery","title":"Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework","date":"2022-02-19","arxiv_id":"2202.09559","repositories_listed":3,"syntology":null},{"url":"/paper/transformer-based-spatial-temporal-feature","title":"Transformer-based Spatial-Temporal Feature Learning for EEG Decoding","date":"2021-06-11","arxiv_id":"2106.11170","repositories_listed":3,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/advancing-nlp-with-cognitive-language","title":"Advancing NLP with Cognitive Language Processing Signals","date":"2019-04-04","arxiv_id":"1904.02682","repositories_listed":3,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/seizurenet-a-deep-convolutional-neural","title":"SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification","date":"2019-03-08","arxiv_id":"1903.03232","repositories_listed":3,"syntology":null},{"url":"/paper/sleepeegnet-automated-sleep-stage-scoring","title":"SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach","date":"2019-03-05","arxiv_id":"1903.02108","repositories_listed":3,"syntology":null},{"url":"/paper/deep-learning-based-electroencephalography","title":"Deep learning-based electroencephalography analysis: a systematic review","date":"2019-01-16","arxiv_id":"1901.05498","repositories_listed":3,"syntology":{"n":3,"n_ran":0,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/robustifying-independent-component-analysis","title":"Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise","date":"2018-06-04","arxiv_id":"1806.01094","repositories_listed":3,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/comparative-evaluation-of-state-of-the-art","title":"Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs","date":"2016-02-02","arxiv_id":"1602.00904","repositories_listed":3,"syntology":null},{"url":"/paper/consumer-grade-eeg-based-eye-tracking","title":"Consumer-grade EEG-based Eye Tracking","date":"2025-03-18","arxiv_id":"2503.14322","repositories_listed":2,"syntology":null},{"url":"/paper/yare-gan-yet-another-resting-state-eeg-gan","title":"YARE-GAN: Yet Another Resting State EEG-GAN","date":"2025-03-04","arxiv_id":"2503.02636","repositories_listed":2,"syntology":null},{"url":"/paper/libeer-a-comprehensive-benchmark-and","title":"LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition","date":"2024-10-13","arxiv_id":"2410.09767","repositories_listed":2,"syntology":null},{"url":"/paper/simulation-of-neural-responses-to-classical","title":"Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods","date":"2024-07-25","arxiv_id":"2407.18413","repositories_listed":2,"syntology":null},{"url":"/paper/medformer-a-multi-granularity-patching","title":"Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification","date":"2024-05-24","arxiv_id":"2405.19363","repositories_listed":2,"syntology":{"n":8,"n_ran":6,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/decode-neural-signal-as-speech","title":"NeuSpeech: Decode Neural signal as Speech","date":"2024-03-04","arxiv_id":"2403.01748","repositories_listed":2,"syntology":{"n":5,"n_ran":5,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/reads-v-real-time-automated-detection-of","title":"VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG","date":"2023-11-24","arxiv_id":"2311.14775","repositories_listed":2,"syntology":null}],"syntology_records":13,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}