https://github.com/mathieuseraphim/spdtransnet
공식 코드Structure-Preserving Transformers for Sequences of SPD Matrices
Papers with Code 아카이브
Electroencephalogram (EEG)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/max-phairot-a/mixnet
공식 코드https://github.com/maxxxzdn/EEGCN
공식 코드Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer
https://github.com/maxxxzdn/eegvae
공식 코드Learning Generative Factors of EEG Data with Variational auto-encoders
https://github.com/mcd4874/neurips_competition
공식 코드https://github.com/mdfahimanjum/lipcot
공식 코드https://github.com/medmaxlab/eegpartition
공식 코드https://github.com/medmaxlab/eegprepro
공식 코드The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
https://github.com/medmaxlab/selfeeg
공식 코드SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
https://github.com/meiyor/SincNet-for-Autism-EEG-based-Emotion-Recognition
공식 코드Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity
https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals
공식 코드https://github.com/mengchillee/gen2out
공식 코드https://github.com/metaverse-crowdsource/eeg-tes-chaos-neural-net
공식 코드Artificial Intelligence for EEG Prediction: Applied Chaos Theory
https://github.com/miaozhengqing/lmda-code
공식 코드https://github.com/miaozhengqing/tsff
공식 코드Time-space-frequency feature Fusion for 3-channel motor imagery classification
https://github.com/miaozhengqing/weightfreezing
공식 코드https://github.com/micholeodon/ToFFi_Toolbox
공식 코드ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals
https://github.com/mike-boop/match-mismatch-decoders-ojsp-2023
공식 코드https://github.com/mikewangwzhl/eeg-to-text
공식 코드Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
https://github.com/miltoncandela/neurohumanities-lab
공식 코드https://github.com/mims-harvard/tfc-pretraining
공식 코드Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
https://github.com/mininglamp-mllm/hmllm
공식 코드https://github.com/miracle-2001/gnn4eeg
공식 코드GNN4EEG: A Benchmark and Toolkit for Electroencephalography Classification with Graph Neural Network
https://github.com/mirfaridmusavian/deepcsp
공식 코드Graph Convolutional Neural Networks for analysis of EEG signals, BCI application
https://github.com/mistlab/portiloop
공식 코드The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
https://github.com/mmurrad/eeg-to-text
공식 코드EEG-to-Text Translation: A Model for Deciphering Human Brain Activity
https://github.com/mobile-sensing-and-ubicomp-laboratory/normwear
공식 코드Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
https://github.com/moeinrazavi/OpenSync_Unity
공식 코드OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments
https://github.com/mrsfgl/supervised-tensor-fusion
공식 코드Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data
https://github.com/mtanveer1/RoBoSS
공식 코드RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning
https://github.com/muyang99/mptsnet
공식 코드https://github.com/muzixiang/si-cleer
공식 코드https://github.com/n1xu5/eventnet
공식 코드Avoiding Post-Processing with Event-Based Detection in Biomedical Signals
https://github.com/nanbhas/trustlapse
공식 코드TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
https://github.com/navidfoumani/eeg2rep
공식 코드EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
https://github.com/navsnav/RBD-Sleep-Detection
공식 코드Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.