External validation of machine learning models - registered models and adaptive sample splitting - by Gallitto et al.

Our contributions: Machine Learning Masterclass talk by Tamas Spisak; two posters by Jialin Li and Balint Kincses

“On the replicability of diffusion weighted MRI-based brain-behavior models” by Kotikalapudi et al.

On the replicability of diffusion weighted MRI-based brain-behavior models, Raviteja Kotikalapudi, Balint Kincses, Giuseppe Gallitto, Robert Englert, Kevin Hoffschlag, Jialin Li, Ulrike Bingel, Tamas Spisak Click for details.

An externally validated resting-state brain connectivity signature of pain-related learning. Balint Kincses, Katarina Forkmann, Frederik Schlitt, Robert Jan Pawlik, Katharina Schmidt, Dagmar Timmann, Sigrid Elsenbruch, Katja Wiech, Ulrike Bingel & Tamas Spisak

Vist our posters (Jialin Li, Balint Kincses, Raviteja Kotikalapudi, Gisueppe Gallitto, Robert Englert) and see Giuseppe’s talk about reinforcement learnong with brain feedback (RLBF) on the last day.

It’s an honor to co-author this new paper about: The past, present, and future of the brain imaging data structure (BIDS).

External validation of machine learning models - registered models and adaptive sample splitting, Giuseppe Gallitto, Robert Englert, Balint Kincses, Raviteja Kotikalapudi, Jialin Li, Kevin Hoffschlag, Ulrike Bingel, Tamas Spisak Click for details.

Our preprint about functional connectivity-based Hopfield networks is out!
Click for details.

Welcome to our new website!
This website is still under construction.
Looking for the old website? Click here!