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News |
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:header: ✈️ Conference Visit
:footer: July 18th 2024
:link: https://www.iasp-pain.org/
Our contributions: Machine Learning Masterclass talk by Tamas Spisak; two posters by Jialin Li and Balint Kincses
:header: 🔥 New paper
:footer: July 17th 2024
:link: https://www.sciencedirect.com/science/article/pii/S0889159123003380
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
:header: 🔥 Preprint Alert
:footer: July 11th 2024
:link: https://www.biorxiv.org/content/10.1101/2024.07.08.602202v1
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.
:header: 🎉 Funding extended
:footer: May 31th 2024
:link: https://treatment-expectation.de/
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
:header: ✈️ Conference visit
:footer: May 20th 2024
:link: [https://www.sciencedirect.com/science/article/pii/S0889159123003380](https://treatment-expectation.de/)
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.
:header: 🔥 New paper
:footer: July 17th 2024
:link: https://www.sciencedirect.com/science/article/pii/S0889159123003380
It's an honor to co-author this new paper about: The past, present, and future of the brain imaging data structure (BIDS).
:header: 🔥 Preprint Alert
:footer: May 10th 2023
:link: [https://www.biorxiv.org/content/10.1101/2024.07.08.602202v1](https://www.biorxiv.org/content/10.1101/2023.12.01.569626v2)
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.
:header: 💻 Software release
:footer: Nov 21th 2023
:link: https://pypi.org/project/connattractor/
The connattractor package for fcHNN analyses is now available on PyPI. Installation and quickstart [here](https://pni-lab.github.io/connattractor/package).
:header: 🎉 Paper accepted
:footer: Nov 9th 2023
:link: https://www.sciencedirect.com/science/article/pii/S0889159123003380
Machine learning and artificial intelligence in neuroscience: A primer for researchers, [](https://doi.org/10.1016/j.bbi.2023.11.005)
:header: 🔥 Preprint Alert
:footer: Nov 6th 2023
:link: https://pni-lab.github.io/connattractor
Our preprint about functional connectivity-based Hopfield networks is out! \
Click for details.
:header: 🌐 New website
:footer: Nov 6th 2023
:link: https://pni-lab.github.io/old_website
Welcome to our new website! \
This website is still under construction. \
Looking for the old website? Click here!