- tutorial: Welcome and brainhack school (Pierre Bellec)
- tutorial: Git and github tutorial (Elizabeth M Dupre)
- pitch: LORIS, TOSI, CONP, datalad (Samir Das)
- tutorial: conda and notebooks (Sebastian Urchs)
- Noor Sharif https://github.com/mtl-brainhack-school-2018/nooralsh
- Sylvie Rheault https://github.com/mtl-brainhack-school-2018/rheauls
- Violaine Mongeau-Perusse https://github.com/mtl-brainhack-school-2018/violainemp
- Agah Karakuzu https://github.com/mtl-brainhack-school-2018/agahkarakuzu
- tutorial: Compute Canada (Tristan Glatard)
- pitch: CBRAIN (Shawn Brown)
- pitch: containers (Greg Kiar)
- pitch: NeuroVauld (Tal Yarkoni)
- pitch: BIDS (Tal Yarkoni)
- pitch: openneuro (Elizabeth M Dupre)
- optional tutorial: git pull request (Elizabeth M Dupre)
- Uku
- Francisco https://github.com/mtl-brainhack-school-2018/frank
- pitch: Neurosynth (Jake Vogel)
- pitch: fmri preprocessing & NIAK (Pierre Bellec)
- pitch: nipype (Elizabeth M Dupre)
- pitch: fmriprep (EMD)
- seminar - Daniel Margulies "Topographic principles of macroscale cortical connectivity"
- pitch: structural MRI processing (Mallar Chakravarty)
- pitch: the MaGeT MRI brain segmentation pipeline (Mallar Chakravarty)
- pitch: the qMRlab toolbox for quantitative MRI processing (Nikola Stikov)
- Christina Tremblay https://github.com/mtl-brainhack-school-2018/christi
- Samuel Guay https://github.com/mtl-brainhack-school-2018/samguay
- Éloi Prévost https://github.com/mtl-brainhack-school-2018/Eloi_Prevost
- open science beer and chinese (?) dinner
- pitch: Deep learning and keras (Andrew Doyle)
- pitch: Clustering / component analysis (Jake Vogel)
- pitch: scikit-learn & pandas (Angela Tam)
- seminar - Tal Yarkoni "How to survive and thrive as an open scientist"
- pitch: nilearn (Jake Vogel)
- pitch: Neurovault (Tal Yarkoni)
- pitch: pliers (Tal Yarkoni)
- Gabriel Desrosiers-Gregoire https://github.com/mtl-brainhack-school-2018/Gabriel_D-G
- Liza
- Vincente
- AmanPreet Badhwar
- pitch: M/EEG processing (Karim Jerbi) + + OMEGA (KJ?)
- pitch: MNE (Anne-Lise)
- pitch: OMEGA (Karim Jerbi)
- pitch: Binder and blog demos (Nikola Stikov) + graph & regression (BM)
- pitch: figshare/zenodo (Pierre Bellec)
- pitch: the qMRlab toolbox for quantitative MRI processing (Nikola Stikov)
- Louis-Simon https://github.com/mtl-brainhack-school-2018/louissimon
- Arna Gosh
- Tommy
- Marie
Open hacking
Planning session: collab and tutorials
Open hacking
- Tutorial: Pandas (1pm, Angela Tam)
- Catch session
- Tutorial: Datalad (10am, JB Poline)
- Tutorial: Scikit-Learn (10:30am, J Vogel)
- Tutorial: Loris (1pm, Cécile Madjar and Samir Das)
collab
- Catch session
- Guido
wrap-up session
- Tutorial: FMRIPrep (10am, Elizabeth DuPre)
- Tutorial: Nipype (11am, Elizabeth DuPre)
- Seminar: Erin W Dickie - Personalized Connectomics for the Study of Brain Health and Disease (slides)
- Tutorial: NIAK - fMRI preprocessing, connectome generation (2pm, Pierre Bellec)
- Tutorial: Compute Canada (3pm, Tristan Glatard)
wrap-up session
Open science beer - McCarold
- Tutorial: ciftify (Erin W Dickie) (https://edickie.github.io/ciftify)
- !!MOVED TO MONDAY 28th!! Tutorial: NiLearn (10:30am, J Vogel)
collab
- Tutorial: plotly (1pm, @surchs)
Requirements:- plotly installed (e.g. through conda)
- jupyter lab installed
- created a plotly account
- some experience with matplotlib helps but we can cover the basics
- Tutorial: Keras (2pm, A Doyle)
wrap-up session
- Seminar: the Canadian Open Neuroscience Platform (Naser Muja)
- Tutorial: NiLearn (J Vogel)
open session
- Tutorial: interactive scientific visualization (Anisha Keshavan)
Open session
Tutorial: MaGET
Open science beer: at Darling, 4328 St Laurent Blvd, Montreal, QC H2W 1Z3
Tutorial: Multivariate statistics (Bratislav Misic)
Seminar: Leveraging Web Technology to Address Challenges with Big Data in Neuroscience (Anisha Keshavan)
Wrap-up
Wrap-up
Social at le chat bleu