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moritz-gerster/README.md

Hi there 👋

I'm a physicist with expertise in biomedical signal processing, Python programming, and computational modeling, focused on real-world health data and neurotechnology applications.

I’ve published first-author papers in computational neuroscience, clinical neurophysiology, and signal analysis methodology (340+ citations).

I've contributed to open-source neuroscience tools, including bug fixes and feature enhancements for mne-python (#10656, #11245, #11502, #11640), extended mne-bids (#1103), and provided signal analysis methodology expertise to enhance yasa (#42).

Tech Focus: Python · NumPy · SciPy · MNE · scikit-learn · Signal Processing · Spectral Analysis · ML

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  1. separating_periodic_from_aperiodic_PSDs separating_periodic_from_aperiodic_PSDs Public

    Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."

    Jupyter Notebook 14 6

  2. STN_broadband_power STN_broadband_power Public

    Gerster et al. 2025. "Beyond beta rhythms: Subthalamic aperiodic broadband power reflects Parkinson’s disease severity–a multicenter study."

    Python 1

  3. seizure_simulation seizure_simulation Public archive

    Gerster et al. 2020. “FitzHugh–Nagumo Oscillators on Complex Networks Mimic Epileptic-Seizure-Related Synchronization Phenomena.” Chaos 30 (12): 123130.

    1

  4. seizure_propagation seizure_propagation Public archive

    Gerster et al. 2021. "Patient-specific network connectivity combined with a next generation neural mass model to test clinical hypothesis of seizure propagation." Front. Syst. Neurosci. (15) 79.

    Jupyter Notebook

  5. machine_learning1 machine_learning1 Public archive

    Exercise solutions to the computer science Master's class "Machine Learning 1" taught by Prof. Dr. Klaus-Robert Müller during the winter semester 2021/22 at Technische Universität Berlin.

    Jupyter Notebook 2 1

  6. machine_learning2 machine_learning2 Public archive

    Notes and exercise solutions to the computer science Master's class "Machine Learning 2" taught by Prof. Dr. Klaus-Robert Müller during the summer semester of 2021 at Technische Universität Berlin.

    Jupyter Notebook 6 2