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EEG

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/guido151/Conditional-EEG-Diffusion

공식 코드

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models

https://github.com/guoruilu/slimseiz

공식 코드

SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network

https://github.com/gzoumpourlis/ensemble-mi

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Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training

https://github.com/hackerbci/eeg-with-jetsonnano

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Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short report

https://github.com/harshs27/tglad

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Are uGLAD? Time will tell!

https://github.com/hdy6438/spec2volcamu-net

공식 코드

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

https://github.com/hezy18/eeg_music

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Introducing EEG Analyses to Help Personal Music Preference Prediction

https://github.com/hgshrs/detector-atom-net

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Single-channel electroencephalography decomposition by detector-atom network and its pre-trained model

https://github.com/hharveygit/CARLA_JNM

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CARLA: Adjusted common average referencing for cortico-cortical evoked potential data

https://github.com/hongmingli1995/cr-vae

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Causal Recurrent Variational Autoencoder for Medical Time Series Generation

https://github.com/hubertjb/dynamic-spatial-filtering

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Robust learning from corrupted EEG with dynamic spatial filtering

https://github.com/ibm/eeg-ieeg-brain-compressor

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The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG

https://github.com/ici-bci/eeg-disease-macs

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EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations

https://github.com/iis-eth-zurich/eeg-tcnet

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EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces

https://github.com/iiscleap/eegspeech-matchmismatch

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Enhancing the EEG Speech Match Mismatch Tasks With Word Boundaries

https://github.com/ilkyyldz95/eeg_mvts

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Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG

https://github.com/iobt-vistec/min2net

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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

https://github.com/ironing/eeg-ad

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Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

https://github.com/ispamm/mhyeeg

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Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals

https://github.com/italoivo/Motorcoordination_Symbolic_Dynamics

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Symbolic dynamics of joint brain states during dyadic coordination

https://github.com/ivine-GIT/joint_CNN_LSTM_AAD

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Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model

https://github.com/izotov93/nneten

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Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation

https://github.com/ja-che/hidimstat

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Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

https://github.com/jalilpour-m/match-mismatch-speech-features

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Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model

https://github.com/jason-qiu/eeg_language_alignment

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Can Brain Signals Reveal Inner Alignment with Human Languages?

https://github.com/jennyqsun/EEG-Decision-SincNet

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Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals

https://github.com/jesus-333/Dynamic-PyTorch-Net

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CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet

https://github.com/jesus-333/FBCSP-Python

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CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet

https://github.com/jiang-muyun/fast

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Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer

https://github.com/jonaskohler/stereoeeg2speech

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Synthesizing Speech from Intracranial Depth Electrodes using an Encoder-Decoder Framework

https://github.com/joshparksj/eeg-wgan

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Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks

https://github.com/julianagonzalezastudillo/netfeat

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Feature interpretability in BCIs: exploring the role of network lateralization

https://github.com/juriueno11/predann

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Predicting Artificial Neural Network Representations to Learn Recognition Model for Music Identification from Brain Recordings

https://github.com/justlfc03/mstnet

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Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach

https://github.com/jzhangu/basen

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BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions

https://github.com/jzk00/eeg-dif

공식 코드

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.