NeuroHackademy 2023: JB Poline: Statistical and Sociological Components of Reproducibility
NeuroHackademy: JB Poline - Reproducibility: what you need to know from epistemology to statistics
NeuroHackademy 2018: JB Poline - P values and reproducibility issues
NeuroHackademy 2022: JB Poline - Issues with statistics that make work irreproducible and what to do
NeuroHackademy 2019: Jean-Baptiste Poline - Numerical Computing in Python
Neurohackweek: Jean-Baptiste Poline
NeuroHackademy 2021: Issues with statistics that will make your work irreproducible
NeuroHackademy: Alex Huth - Word embeddings as priors for language encoding models
NeuroHackademy: Ariel Rokem, Tal Yarkoni - Introduction to Neurohackademy
NeuroHackademy 2019: Elizabeth DuPre - Collaborating With Git and GitHub
NeuroHackademy 2023: Adam Richie-Halford: Building web apps
NeuroHackademy 2018: Chris Gorgolewski - The Brain Imaging Data Structure
NeuroHackademy 2018: Sanmi Koyejo - Synthesizing fMRI using generative adversarial networks
NeuroHackademy 2018: Eva Dyer - Finding structure in neural recordings
NeuroHackademy 2018: Tor Wager - Interactive fMRI Analysis
NeuroHackademy 2018: Software Pipelines for Reproducible Neuroimaging
NeuroHackademy: Angela Laird - Meta-analysis and Reproducibility
Training in Reproducibility
Jean-Baptiste Poline - A short introduction to neuroimaging [2014]
NeuroHackademy 2019: Tal Yarkoni - Machine Learning with Scikit Learn
![Jean-Baptiste Poline - A short introduction to neuroimaging [2014]](https://img.youtube.com/vi/z6vAZlrl4nI/0.jpg)
