arXiv:1703.05051 공식 코드 · Papers with Code

Deep learning with convolutional neural networks for EEG decoding and visualization

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball

제출 2017-03-15

arXiv 원문 코드 보기

원문 초록

PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary.wiley.com/doi/10.1002/hbm.23730/full Code available here: https://github.com/robintibor/braindecode

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2503.16531공통 태그 EEG, Electroencephalogram (EEG), Eeg Decoding공식 코드 · Papers with Code 등록 2025-03-18

토론

이 논문과 연결된 포럼 글이 아직 없습니다.

포럼에서 토론 찾기

Deep learning with convolutional neural networks for EEG decoding and visualization

원문 초록

함께 살펴볼 논문

EEG-CLIP : Learning EEG representations from natural language descriptions

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding

A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding

Embedding neurophysiological signals

Physics-inform attention temporal convolutional network for EEG-based motor imagery classification

토론