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Minicourses

Educational Workshop

List of minicourses

Subject to course demand, course delivery may be repeated over the two days of the workshop. Workshop attendees will be able to select multiple courses during the workshop. The timetable will be available closer to the event and will be built to maximize allocation and minimize attendees’ conflicts with their preferred minicourses.

Registration closes on 7 July 2024. Registration is based on first come, first served.

Below is the list of all minicourses available for the Educational Workshop.

ID Title Lead Proponent Type
EDDA-AL01 Cedalion: A Python-based Framework that integrates multimodal fNIRS & DOT Data Analysis with Machine Learning Approaches Alexander von Lühmann Hands-on
EDDA-DZ02 Introductory to CortiPrism fNIRS signal processing software: from artifact correction to group-level analysis Cortivision Hands-on
EDEP-ML03 Introduction to real-time fNIRS: pre-processing, analysis and exploration of real-world applications Michael Lührs Hands-on
EDSA-JG04 How to carry out a meta-analysis of NIRS studies: from extracting effect sizes to investigating sources of variability  Jessica Gemignani Hands-on
EDEP-JPG05 NIRS-EEG co-registration: possibilities, challenges and solutions Judit Gervain Discussion
EDEP-MA06 From fNIRS experiment design to group analysis using the Satori software NIRx Hands-on
EDEP-DP07 Real-time fNIRS data quality assessment and extraction of complementary physiological markers Artinis Demo
EDDA-ES08 Diffuse Optical Mapping of Human Brain Function using NIRFAST and NeuroDOT: A Hands-on course Emma Speh Hands-on
EDEP-BD10 Creating Virtual Reality Experiments for Non-programmers and Combining with FNIRS BIOPAC Systems Hands-on
EDEP-CB11 Bringing fNIRS outside the lab: methodological challenges and possible applications Chiara Bulgarelli Discussion
EDTH-JB12 Hands-on machine learning with fNIRS using the BenchNIRS Python framework Johann Benerradi Hands-on
EDTH-SC13 Probing cerebral perfusion: diffuse correlation spectroscopy and beyond Stefan Carp Demo
EDDA-TH14 Introduction to the Brain AnalyzIR Toolbox Theodore Huppert Demo
EDDA-TH15 Advanced data analysis and theory using the Brain AnalyzIR toolbox Theodore Huppert Demo
EDDA-CG16 NIRSTORM: a Brainstorm plugin dedicated to fNIRS statistical analysis, 3D reconstructions and optimal probe design Christophe Grova Hands-on
EDEP-LP17 Software tools for assessing and enhancing quality of fNIRS experimental measurements Luca Pollonini Hands-on
EDDA-HN18 Introduction to FC-NIRS: A Comprehensive Tool for fNIRS Data Preprocessing and Functional Network Analysis Haijing Niu Hands-on
EDTH-JA19 AI-driven methods for the interpretable analysis of fNIRS signals in Python Javier Andreu-Perez Hands-on
EDTH-GP20 Image reconstruction for diffuse optical tomography Guy Perkins Hands-on
EDDA-QF21 Access large-scale free neuroimaging datasets using NeuroJSON.io website and REST-API Qianqian Fang Hands-on


Most Toolbox mini-courses require you to bring your own laptop with Matlab installed. Matlab is a proprietary software, and licenses will not be provided. If you do not have a copy of MATLAB, please download and install a free trial version prior to the course

In addition, some minicourses require specific software packages. Links to download these free software will be provided on each course webpage. Make sure to have all the required software installed on your computer before the meeting. If needed, we will provide help with installation on Saturday morning in parallel with the general introduction to the fNIRS course. Software will not be installed during minicourses.