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Helge J Ritter

Showing results (1-10 of 5) with videos related to

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Network (Bristol, England)|February 28, 2014
Perceptual grouping by entrainment in coupled Kuramoto oscillator networksMartin Meier, Robert Haschke, Helge J Ritter
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 12, 2008
An adaptive P300-based online brain-computer interfaceAlexander Lenhardt, Matthias Kaper, Helge J Ritter
The Behavioral and Brain Sciences|September 23, 2024
Linking meta-learning to meta-structureMalte Schilling, Helge J Ritter, Frank W Ohl
Neural Networks : the Official Journal of the International Neural Network Society|May 18, 2005
The dynamic wave expansion neural network model for robot motion planning in time-varying environmentsDmitry V Lebedev, Jochen J Steil, Helge J Ritter
Neural Networks : the Official Journal of the International Neural Network Society|October 21, 2021
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement LearningMalte Schilling, Andrew Melnik, Frank W Ohl, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Network (Bristol, England)|February 28, 2014
Perceptual grouping by entrainment in coupled Kuramoto oscillator networksMartin Meier, Robert Haschke, Helge J Ritter
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 12, 2008
An adaptive P300-based online brain-computer interfaceAlexander Lenhardt, Matthias Kaper, Helge J Ritter
The Behavioral and Brain Sciences|September 23, 2024
Linking meta-learning to meta-structureMalte Schilling, Helge J Ritter, Frank W Ohl
Neural Networks : the Official Journal of the International Neural Network Society|May 18, 2005
The dynamic wave expansion neural network model for robot motion planning in time-varying environmentsDmitry V Lebedev, Jochen J Steil, Helge J Ritter
Neural Networks : the Official Journal of the International Neural Network Society|October 21, 2021
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement LearningMalte Schilling, Andrew Melnik, Frank W Ohl, et al.
Pageof 1