Cedalion Workshop

Advancing Multimodal Neuroimaging with a Python-based toolbox

A scientific workshop for researchers on fNIRS and DOT analysis in everyday contexts—combining open-source tools, machine learning, and the power of the Python ecosystem.

Python-based analysis of fNIRS and DOT in the everyday world with multimodal methods and machine learning

Join us for a 1.5-day workshop on Cedalion, a Python-based toolbox designed for advanced multimodal fNIRS and DOT analysis that can be collaboratively expanded by the community. Following Cedalion’s main release in 2026, the workshop will familiarize researchers with the foundations of the toolbox. Cedalion integrates and expands core features of HOMER3 and AtlasViewer's processing and image reconstruction while tapping into the rich Python ecosystem of modern tools for data analysis and machine learning.

• Date: August 24. & 25., 2026
• Venue: Hybrid (Virtual & onsite). Onsite: BIFOLD / Technische Universität Berlin, Franklin Str. 28/29, 7th Floor, Room 701.

At the end of the workshop, participants will have learned:

1. Foundations of fNIRS acquisition and experiments
2. How to use Cedalion for state-of-the-art channel- and image space analysis, preprocessing, regression-based GLM analysis, head models, photon simulation and image reconstruction, photogrammetric probe co-registration, and how to employ Cedalion’s support of machine learning methods for multimodal analysis and classification of fNIRS signals.

Schedule & Registration

Please follow the link to the Cedalion workshop website.