https://github.com/karaposu/Brain_typing
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Papers with Code 아카이브
Electroencephalogram (EEG)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 7
- 평가표
- 3
- 보존된 평가 기록
- 5
Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kburel/SNN_HFO_iEEG
https://github.com/kburel/snn-hfo-detection
https://github.com/kusumikakd/EEGLearn
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/kusumikakd/EEG_Multiclass
https://github.com/kylemath/DeepEEG
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/lclarte/dreemmva
Deep learning with convolutional neural networks for EEG decoding and visualization
https://github.com/leesk212/new_deepsleepnet
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
https://github.com/longjj/Caffe-SGDR
https://github.com/luizantoniona/eeg-epileptic-seizure-detection
https://github.com/majorash/eeg_epilepsy_conv1d
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach
https://github.com/mezo11/2
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/mindspore-ai/contrib/tree/master/intern/RGNN
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
https://github.com/modeeric/eegvit-tcnet
https://github.com/navsnav/Minimal-RBD-Detection
Screening for REM Sleep Behaviour Disorder with Minimal Sensors
https://github.com/ncclab-sustech/eeg_image_decode
https://github.com/nicolasigor/cmorlet-tensorflow
RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
https://github.com/norahollenstein/reading-task-classification
https://github.com/okbalefthanded/ssvepformer
A Transformer-based deep neural network model for SSVEP classification
https://github.com/pelednoam/mmvt
Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)
https://github.com/perslev/U-Time
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
https://github.com/pieeg-club/PiEEG_Kit
https://github.com/pulp-platform/hwpe-tb
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/pulp-platform/pulp
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/pulp-platform/pulpissimo
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/pwc-1/Paper-9/tree/main/3/SGDR
https://github.com/pwc-1/Paper-9/tree/main/7/RGNN
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
https://github.com/rczhen/Movement-Classification-based-on-Electroencephalography-EEG-Signals
Deep learning with convolutional neural networks for EEG decoding and visualization
https://github.com/rwightman/pytorch-image-models
https://github.com/samiatto/colide
Generalized Concomitant Multi-Task Lasso for sparse multimodal regression
https://github.com/sari-saba-sadiya/EEG-Channel-Interpolation-Using-Deep-Encoder-decoder-Networks
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks
https://github.com/satyam9753/NNFL-EEG-DRCNN
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
https://github.com/sergiojx/ML_DSP
Cerebral Signal Instantaneous Parameters Estimation MATLAB Toolbox - User Guide Version 2.3
https://github.com/sfvnielsen/ndfc
Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data
https://github.com/sweichwald/coroICA-R
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise
https://github.com/sweichwald/coroICA-matlab
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.