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Lukas Fiederer

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Personal information

Lukas Dominique Josef Fiederer

Neuroscience PhD, JMP Trainee Robert-Bosch GmbH

 

 

Research

My past research focused on:

  • Deep learning applied to online and offline EEG data

  • Synergistic real-time human- and machine-learning

  • Deep learning for medical and neuro imaging

  • Virtual reality-based surgery simulation

  • Brain-Computer Interfaces based on intracranial and surface EEG

  • Fundamental Neuroscience based on intracranial and surface EEG

  • High resolution volume conductor head models for forward and inverse modeling of brain activity

Student Supervision

  • Bachelor (5), Master (7) and PhD (1) theses in the fields of Computer Science, Biomedical Engineering, Microsystems Engineering, Biology, Neuroscience and Medicine, 2012-2019
  • Diverse internships, 2012-2019

Teaching

  • Tutor, Brain-Computer Interface seminar Doing by Thinking, B.Sc. and M.Sc., 2015-2017
  • Lecturer and tutor, Advanced module Neurobiology, B.Sc. Biology, 2015-2018

Conference Talks

  • Non-Invasive High-Gamma Mapping in an Optimized EEG Lab, DGKN 2017, Leipzig, Germany. Chair: Julia Jacobs-Le Van

  • An Augmented Reality Approach for BCI Control of Intelligent Autonomous Robots, BMT 2014, Hannover, Germany. Chair: Patrick Ruther & Thomas Stieglitz.

  • High-Resolution Forward Modeling Using FEM Head Models Based on 7T MRI Data, BaCI 2013, Geneva, Switzerland. Chair: Seppo Ahlfors.

  • High-Resolution Forward Modeling using Finite Element Method Volume Conduction, BMT 2011, Freiburg, Germany. Chair: Ulrich Egert.

Invited Talks

  • 2018.03.20: Exploring the possibilities of non-invasive EEG, Département des Neurosciences fondamentales, Faculté de Médicine, Université de Genève, Switzerland, Host: Tomislav Milekovic

  • 2017.08.24: Beyond slow waves – Non-invasive high- gamma mapping in an optimized EEG Lab, Klinik und Poliklinik für Neurologie, Universitätsklinikum Leipzig, Germany. Host: Prof. Joseph Claßen

  • 2011.11.04: High-Resolution Forward Modeling using Finite Element Method Volume Conduction, Ärztefortbildung 2011, Epilepsy Department, University Clinic Freiburg, Germany. Host: Matthias Dümpelmann

  • 2011.04.06: Participation in post-film debate with Dr. Tonio Ball and Thomas Droulez during the “À votre santé !” month of health and medical science, Mulhouse, France. Host: Adrien Douda

Pre-Prints

  • Fiederer L.D.J., Alwanni H., Völker M, Schnell O., Beck J., Ball T., "A Research Framework for Virtual Reality Neurosurgery Based on Open-Source Tools", https://arxiv.org/abs/1908.05188

Peer-Reviewed Publications 

* Equally contributing authors

  • Fiederer L.D.J.*, Völker M.*, Schirrmeister R.T., Burgard W., Boedecker J., Ball T. "Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings with Deep Regression", Frontiers in Neurorobotics, Volume 13, 2019, https://doi.org/10.3389/fnbot.2019.00076

  • Kuhner D.*, Fiederer L.D.J.*, Aldinger J.*, Burget F.*, Völker M.*, Schirrmeister R.T., Do C., Boedecker J., Nebel B., Ball T., Burgard W. "A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain–computer interfacing". Robotics and Autonomous Systems, Volume 116, 2019, Pages 98-113, https://doi.org/10.1016/j.robot.2019.02.015

  • Kahle L.L., Fiederer L.D.J., Contzen S., Völker M., Ball T., “Spatio-temporal characteristics of somatosensory-evoked 50-70 Hz high-gamma activity of the EEG”, submitted

  • Fiederer L.D.J., Wang Xi., Schirrmeister R.T., Völker M., Ball T., “Leveraging Co-Adaptation of Human- and Machine-Learning with Deep-Learning”, in preparation

  • Fiederer L.D.J., Völker M., Glasstetter M., Ball T., “Reliably Measuring from the High-Gamma Band Using EEG: From Lab to Real World”, in preparation

  • Fiederer L.D.J.*, Völker M.*, Schirrmeister R.T., Ball T., “A High-Performance 10 Class Imagery EEG BCI”, in preparation

  • Lahr J., Fiederer L.D.J., Aertsen A., Schulze-Bonhage A., Ball T., “Topographic and Spectral Characteristics of Intracranially-measured EMG”, in preparation

  • Wang X., Fiederer L.D.J., Henle C., Mader I., Kaminsky J., Gierthmuehlen M., Stieglitz T., Ball T., “Cortical-Depth and Frequency-Band Dependency of the Spatial Extent of the Generators Underlying µECoG Recordings”, in preparation

  • Heilmeyer F.A., Schirrmeister R.T., Fiederer L.D.J., Völker M., Behncke J., Ball T., “A Framework for Large-Scale Evaluation of Deep Learning for EEG.”, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018 http://arxiv.org/abs/1806.07741.

  • Völker, M., Hammer J., Schirrmeister R.T., Behncke J., Fiederer L.D.J., Schulze-Bonhage A., Marusič P., Burgard B., Ball T., “Intracranial Error Detection via Deep Learning.” Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018, http://arxiv.org/abs/1805.01667.

  • Völker M., Schirrmeister R.T., Fiederer L.D.J., Burgard W., Ball T., “Deep Transfer Learning for Error Decoding from Non-Invasive EEG.” In 2018 6th International Conference on Brain-Computer Interface (BCI), 1–6, 2018. https://doi.org/10.1109/IWW-BCI.2018.8311491

  • Völker M., Fiederer L.D.J.*, Berberich S.*, Hammer J.*, Behncke J., Kršek P., Tomášek M., Marusič P., Reinacher P.C., Coenen V.A., Schulze-Bonhage A., Burgard W., Ball, T., “The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG”, NeuroImage, vol. 173, pp 564-579, 2018, https://10.1016/j.neuroimage.2018.01.059

  • Burget F.*, Fiederer L.D.J.*, Kuhner D.*, Völker M.*, Aldinger J.*, Schirrmeister, R. T., Do C., Boedecker J., Nebel B., Ball T., Burgard, W., “Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills”, Proceedings of the European Conference on Mobile Robotics, 2017, https://doi.org/10.1109/ECMR.2017.8098658

  • Wang X., Gkogkidis C.A., Iljina O., Fiederer L.D.J., Henle C., Mader I., Kaminsky J., Stieglitz T., Gierthmuehlen M., Ball T., “Mapping the fine structure of cortical activity with different micro-ECoG electrode array geometries”, Journal of Neural Engineering, 14(5), 56004, 2017, http://doi.org/10.1088/1741-2552/aa785e

  • Schirrmeister R.T., Springenberg J.T., Fiederer L.D.J., Glasstetter M., Eggensperger K., Tangermann M., Hutter F., Burgard W., Ball, T., “Deep learning with convolutional neural networks for EEG decoding and visualization”, Human Brain Mapping, vol 38, issue 11, pp 5391–5420, 2017, http://doi.org/10.1002/hbm.23730

  • Voelker M., Berberich S., Andreev E., Fiederer L.D.J., Burgard W., Ball T., "Between-Subject Transfer Learning for Classification of Error-Related Signals in High-Density EEG", Proceedings of the 1st Neuroadaptive Technology Conference, 2017

  • Schirrmeister R.T., Fiederer L.D.J., Springenberg J.T., Glasstetter M., Eggensperger K., Tangermann M., Hutter F., Burgard W., Ball, T. “Designing and Understanding Convolutional Networks for Decoding Executed Movements from EEG", Proceedings of the 1st Neuroadaptive Technology Conference, 2017

  • Fiederer, L.D.J., J. Lahr, J. Vorwerk, F. Lucka, A. Aertsen, C.H. Wolters, A. Schulze-Bonhage, and T. Ball. “Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations.” IEEE Transactions on Biomedical Engineering 63, no. 12 (December 2016): 2552–63. doi:10.1109/TBME.2016.2570743.

  • Fiederer, L.D.J., J. Vorwerk, F. Lucka, M. Dannhauer, S. Yang, M. Dümpelmann, A. Schulze-Bonhage, A. Aertsen, O. Speck, C.H. Wolters, and T. Ball. “The Role of Blood Vessels in High-Resolution Volume Conductor Head Modeling of EEG.” NeuroImage 128 (March 2016): 193–208. doi:10.1016/j.neuroimage.2015.12.041.

  • Schroer, S., I. Killmann, B. Frank, M. Volker, L.D.J. Fiederer, T. Ball, and W. Burgard. “An Autonomous Robotic Assistant for Drinking,” 6482–87. IEEE, 2015. doi:10.1109/ICRA.2015.7140110.

  • Derix, J., S. Yang, F. Lüsebrink, L.D.J. Fiederer, A. Schulze-Bonhage, A. Aertsen, O. Speck, and T. Ball. “Visualization of the Amygdalo–hippocampal Border and Its Structural Variability by 7T and 3T Magnetic Resonance Imaging.” Human Brain Mapping 35, no. 9 (September 1, 2014): 4316–29. doi:10.1002/hbm.22477.

  • Lampe, T.*, L.D.J. Fiederer*, Martin Voelker, Alexander Knorr, Martin Riedmiller, and Tonio Ball. “A Brain-Computer Interface for High-Level Remote Control of an Autonomous, Reinforcement-Learning-Based Robotic System for Reaching and Grasping.” In Proceedings of the 19th International Conference on Intelligent User Interfaces, 83–88. IUI ’14. New York, NY, USA: ACM, 2014. doi:10.1145/2557500.2557533.

  • Fiederer, L.D.J., T. Lampe, M. Voelker, L. Spinello, W. Burgard, M. Riedmiller, and T. Ball. “An Augmented Reality Approach for BCI Control of Intelligent Autonomous Robots.” In Biomed. Eng. (Berlin), 59:S1097–S1097, 2014. pdfgoogle scholar

Posters

  • Fiederer L.D.J., Lahr J., Vorwerk J., Lucka F., Wolters C.H., Schulze-Bonhage A., Ball T. (2016). „Endogenous Brain Stimulation through EMG: Estimation of Cortical Electrical Field Strength.“ Poster presented at the SfN 2016, San Diego, USA

  • Fiederer L.D.J., Lahr J., Vorwerk J., Lucka F., Wolters C.H., Schulze-Bonhage A., Ball T. (2016). „Endogenous Brain Stimulation through EMG: Estimation of Cortical Electrical Field Strength.“ Poster presented at the BrainStim 2016, Geneva, Switzerland

  • Ball T., Völker M., Glasstetter M., Fiederer L.D.J., Schulze-Bonhage A. (2016). “Non-Invasive High-Gamma Mapping in an Optimized EEG Lab.” Poster presented at the HFO 2016, Freiburg, Germany

  • Fiederer L.D.J., Lahr J., Lucka F., Vorwerk J., Wolters C.H., Schulze-Bonhage A., Ball T. (2015). “Endogenous Stimulation of the Human Cerebral Cortex by Physiological Electromyographic Activity?” Poster presented at the BaCI 2015, Utrecht, Nederland

  • Ball T., Wang X., Berkemeier R. E., Fiederer L.D. J. (2015). “NASS – Development of a brain-controlled assistive system for clinical application.” Poster presented at the TAR 2015 technically assisted rehabilitation conference, Berlin, Germany

  • Fiederer L.D.J., Lampe T., Völker M., Knorr A., Riedmiller M., Ball T. (2014). “A BCI for High-Level Remote Control of an Autonomous, Reinforcement-Learning-Based Robotic System for Reaching and Grasping.” Poster presented at the 2014 BBCI Winterschool, Berlin, Germany

  • Fiederer L.D.J., F. Lucka, J. Vorwerk, S. Yang, M. Dümpelmann, D. Cosandier-Rimélé, A. Schulze-Bonhage, A. Aertsen, O. Speck, C. H. Wolters & T. Ball (2012). „High-Resolution Forward Modeling using Finite Element Method Head Models based on 7T MRI Data.” Poster presented at OHBM 18th Annual Meeting, Beijing, China

Curriculum Vitae

  • 2019 –          Junior Managers Program Trainee, Robert-Bosch GmbH

  • 2018 – 2019 Post-Doc, University Clinics Freiburg

  • 2013 – 2019 EEG Lab Manager, University Clinics Freiburg

  • 2010 – 2019 System & Web Admin, tnt.uni-freiburg.de

  • 2012 – 2019 Scientific Staff, University Clinics Freiburg

  • 2012 – 2018 PhD student, University Clinics Freiburg

  • 2010 – 2012 MRI segmentation and FEM modeling, University Clinics Freiburg

  • 2006 – 2012 Diploma in Biology

  • 2008 – 2012 Database development and management, Bernstein Center Freiburg

  • 2008 – 2009 Modeling of integrate and fire dopaminergic spiny cell driven by D1 – D5 receptors, Bernstein Center Freiburg

 

 

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