Martin Völker

Orcid: 0000-0002-3919-2180

According to our database1, Martin Völker authored at least 14 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Optimizing brain-computer interfaces for high-level control of intelligent robots.
PhD thesis, 2019

A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing.
Robotics Auton. Syst., 2019

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression.
Frontiers Neurorobotics, 2019

A Research Framework for Virtual-Reality Neurosurgery Based on Open-Source Tools.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

2018
The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG.
NeuroImage, 2018

Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding.
CoRR, 2018

A framework for large-scale evaluation of deep learning for EEG.
CoRR, 2018

Intracranial Error Detection via Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Large-Scale Evaluation Framework for EEG Deep Learning Architectures.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep transfer learning for error decoding from non-invasive EEG.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2015
An autonomous robotic assistant for drinking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014


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