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Joschka Boedecker

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Frontiers in Psychology|October 19, 2013
Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systemsJoschka Boedecker, Thomas Lampe, Martin Riedmiller
Plos Computational Biology|February 17, 2026
Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientationDavid Luis Schultheiss, Zsolt Turi, Joschka Boedecker, et al.
HFSP Journal|April 2, 2010
Initialization and self-organized optimization of recurrent neural network connectivityJoschka Boedecker, Oliver Obst, N Michael Mayer, et al.
Computers in Biology and Medicine|June 15, 2024
Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classificationAnn-Kathrin Kiessner, Robin T Schirrmeister, Joschka Boedecker, et al.
Plos Computational Biology|June 2, 2023
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDsMaria Kalweit, Andrea M Burden, Joschka Boedecker, et al.
Ecology Letters|December 3, 2024
Process-Informed Neural Networks: A Hybrid Modelling Approach to Improve Predictive Performance and Inference of Neural Networks in Ecology and BeyondMarieke Wesselkamp, Niklas Moser, Maria Kalweit, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learningLukas A W Gemein, Robin T Schirrmeister, Joschka Boedecker, et al.
Theory in Biosciences = Theorie in Den Biowissenschaften|December 8, 2011
Information processing in echo state networks at the edge of chaosJoschka Boedecker, Oliver Obst, Joseph T Lizier, et al.
Rheumatology Advances in Practice|April 17, 2020
Applied machine learning and artificial intelligence in rheumatologyMaria Hügle, Patrick Omoumi, Jacob M van Laar, et al.
PLOS Digital Health|April 15, 2025
A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformersJens Rahnfeld, Mehdi Naouar, Gabriel Kalweit, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Frontiers in Psychology|October 19, 2013
Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systemsJoschka Boedecker, Thomas Lampe, Martin Riedmiller
Plos Computational Biology|February 17, 2026
Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientationDavid Luis Schultheiss, Zsolt Turi, Joschka Boedecker, et al.
HFSP Journal|April 2, 2010
Initialization and self-organized optimization of recurrent neural network connectivityJoschka Boedecker, Oliver Obst, N Michael Mayer, et al.
Computers in Biology and Medicine|June 15, 2024
Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classificationAnn-Kathrin Kiessner, Robin T Schirrmeister, Joschka Boedecker, et al.
Plos Computational Biology|June 2, 2023
Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDsMaria Kalweit, Andrea M Burden, Joschka Boedecker, et al.
Ecology Letters|December 3, 2024
Process-Informed Neural Networks: A Hybrid Modelling Approach to Improve Predictive Performance and Inference of Neural Networks in Ecology and BeyondMarieke Wesselkamp, Niklas Moser, Maria Kalweit, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learningLukas A W Gemein, Robin T Schirrmeister, Joschka Boedecker, et al.
Theory in Biosciences = Theorie in Den Biowissenschaften|December 8, 2011
Information processing in echo state networks at the edge of chaosJoschka Boedecker, Oliver Obst, Joseph T Lizier, et al.
Rheumatology Advances in Practice|April 17, 2020
Applied machine learning and artificial intelligence in rheumatologyMaria Hügle, Patrick Omoumi, Jacob M van Laar, et al.
PLOS Digital Health|April 15, 2025
A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformersJens Rahnfeld, Mehdi Naouar, Gabriel Kalweit, et al.
Pageof 2