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. Consult the timetable here.
Registration will remain open until 9 August 2024, or all courses are sold out. 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.