Welcome to the Neumann Group, currently located both at Charité in Berlin and at the Wyss Center for Bio and Neuroengineering in Geneva! We provide research software, analysis pipelines, datasets, and collaborative projects developed within our group and with our collaborators worldwide.

We develop methods for invasive and non-invasive neuromodulation, adaptive deep brain stimulation, electrophysiology, neural decoding, connectomics, and real time neurophysiology analysis. Our work combines translational neuroscience, machine learning, signal processing, and neuroengineering with a strong focus on reproducible and open science.

• Open-source code and tools for neuromodulation research
• Reproducible datasets and analysis pipelines
• Active collaborations across academia and industry

• Adaptive and closed loop neuromodulation
• Deep Brain Stimulation (DBS)
• Electrophysiology and intracranial recordings
• Neural decoding and machine learning
• Brain computer interfaces
• Connectomics and network neuroscience
• Translational neurotechnology

Real time analysis framework for intracranial neurophysiology recordings, including oscillatory biomarkers, burst analysis, connectivity metrics, feature extraction, machine learning pipelines, and neural decoding workflows.

📄 Associated publication:
Merk et al. py_neuromodulation: Real time analysis of intracranial neurophysiology recordings
Journal of Open Source Software (JOSS), 2025
https://joss.theoj.org/papers/10.21105/joss.08258

A python implementation of the PARRM algorithm for removing periodic stimulation artefacts from electrophysiology recordings during deep brain stimulation.

A MATLAB toolbox for extracting and processing recordings from the Medtronic Percept bidirectional DBS platform.

Developed as a collaboration between the Brain Modulation Lab and the Neumann Group by Lucia Poma, DBSAnnotator is an open source platform for annotating and analyzing DBS related electrophysiology recordings and behavioral data.

• AcrossPatientDecodingModel
  Open-weight cross-patient neural decoding models for invasive electrophysiology.

• WJN Toolbox
  A MATLAB-based electrophysiology and neuroimaging analysis toolbox.

Electrophysiological biomarkers of motor decoding and adaptive neuromodulation

This work investigates electrophysiological biomarkers relevant for adaptive neuromodulation and motor decoding.

📄 Paper:
https://elifesciences.org/articles/75126

📦 Public dataset:
https://doi.org/10.7910/DVN/IO2FLM

We strongly believe in transparent, reproducible, and collaborative neuroscience.

This organization hosts:

• Open source analysis frameworks
• Reproducible research pipelines
• Public datasets
• Signal processing toolboxes
• Methods for adaptive neuromodulation research
• Translational neurotechnology software