홈 › Papers

Deep learning with convolutional neural networks for EEG decoding and visualization

2017-03-15 · Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball

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

📄 PDF Abstract BibTeX arXiv:1703.05051

Code (5)

braindecode/braindecode 공식 구현 pytorch

ADMoreau/EEG-Research tf

gibranfp/P300-CNNT tf

lclarte/dreemmva pytorch

rczhen/Movement-Classification-based-on-Electroencephalography-EEG-Signals

Tasks

EEGEeg Decoding Electroencephalogram (EEG)

ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation

2022-01-10 · Ya-Lin Huang, Chia-Ying Hsieh, Jian-Xue Huang, Chun-Shu Wei

We have developed a graphic user interface (GUI), ExBrainable, dedicated to convolutional neural networks (CNN) model training and visualization in electroencephalography (EEG) decoding. Available functions include model…

EEG Eeg Decoding Electroencephalogram (EEG)Motor Imagery

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

2017-08-26 · Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter 외

We apply convolutional neural networks (ConvNets) to the task of distinguishing pathological from normal EEG recordings in the Temple University Hospital EEG Abnormal Corpus. We use two basic, shallow and deep ConvNet ar…

EEG Electroencephalogram (EEG)

The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks

2017-11-16 · Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball

The importance of robotic assistive devices grows in our work and everyday life. Cooperative scenarios involving both robots and humans require safe human-robot interaction. One important aspect here is the management of…

EEG Eeg Decoding Electroencephalogram (EEG)Management

Decoding CNN based Object Classifier Using Visualization

2020-07-15 · Abhishek Mukhopadhyay, Imon Mukherjee, Pradipta Biswas

This paper investigates how working of Convolutional Neural Network (CNN) can be explained through visualization in the context of machine perception of autonomous vehicles. We visualize what type of features are extract…

Autonomous Vehicles Object object-detection Object Detection

Intracranial Error Detection via Deep Learning

2018-05-04 · Martin Völker, Jiří Hammer, Robin T. Schirrmeister, Joos Behncke 외

Deep learning techniques have revolutionized the field of machine learning and were recently successfully applied to various classification problems in noninvasive electroencephalography (EEG). However, these methods wer…

Deep Learning EEG Electroencephalogram (EEG)