We are looking for a community manager and development coordinator for DataLad !! The full description with contact info is at: files.inm7.de/mih/position...

Spread the word 📣 Announcing the first BrainHack at the DGKN meeting next month !! After being a staple at OHBM, this will be the first hackroom at a German (clinical) neuroscience meeting Enjoy the spirit of open science with tutorials, hackathons and an unconference 🔜 Join us in Frankfurt

Somehow it seems that computational models were immune to the current sample-size worries in #neuroimagingonlinelibrary.wiley.com/doi/10.1002/...

That is a really important result. These models are being run on an n of 12 or 20.

Somehow it seems that computational models were immune to the current sample-size worries in #neuroimagingonlinelibrary.wiley.com/doi/10.1002/...

Ju = Jüliche 😅

Finally in the public 🚀 JuLearn: an easy-to-use library for leakage-free evaluation and inspection of ML models JuLearn is an open-source Python library simplifying the entry into the ML world -> design & evaluate ML pipelines without encountering common pitfalls arxiv.org/abs/2310.12568

It got a bit chilly in the end, but given that it is already mid-October… 😊

Fantastic but very worrisome work by Sami Hamdan: Confound removal in machine learning can itself lead to leakage -> After information about the target from the features using standard approaches you can STILL predict it well academic.oup.com/gigascience/... #neuroskyence #MLSky #neuroimaging