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

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

16 November 2017

R. Schirrmeister

Wolfram Burgard

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

6 / 6 papers shown

Title
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers Xiang Zhang Lina Yao Xianzhi Wang Jessica J. M. Monaghan David Mcalpine Yu Zhang 3DV 33 140 0 10 May 2019
Deep learning-based electroencephalography analysis: a systematic review Yannick Roy Hubert J. Banville Isabela Albuquerque Alexandre Gramfort T. Falk J. Faubert 25 936 0 16 Jan 2019
The role of robot design in decoding error-related information from EEG signals of a human observer Joos Behncke R. Schirrmeister Wolfram Burgard T. Ball 11 2 0 04 Jul 2018
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding Joos Behncke R. Schirrmeister M. Völker Jiří Hammer Petr Marusič A. Schulze-Bonhage Wolfram Burgard T. Ball 14 11 0 20 Jun 2018
A large-scale evaluation framework for EEG deep learning architectures Felix A. Heilmeyer R. Schirrmeister L. Fiederer M. Völker Joos Behncke T. Ball 17 17 0 18 Jun 2018
Intracranial Error Detection via Deep Learning M. Völker Jiří Hammer R. Schirrmeister Joos Behncke L. Fiederer A. Schulze-Bonhage Petr Marusič Wolfram Burgard T. Ball 8 10 0 04 May 2018