Publications

Sharing brain imaging data in the Open Science era: how and why?

Giehl, Mutsaerts, Aarts, Barkhof, Caspers, Chetelat, Colin, Düzel, Frisoni, Ikram, Jovisich, Morbelli, Oertel, Paret, Perani, Ritter, Segura, Wisse, De Witte, Cappa, van Eimeren
The Lancet Digital Health | HEALTH POLICY| VOLUME 6, ISSUE 7, E526-E535 | JULY 2024

Human connectome topology directs cortical traveling waves and shapes frequency gradients

Dominik P. Koller, Michael Schirner & Petra Ritter
Nat Commun 15, 3570 (2024)   |  2041-1723nbsp]  |   April 2024

Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias

Monteverdi A, Palesi F, Schirner M, Argentino F, Merante M, Redolfi A, Conca F, Mazzocchi L, Cappa SF, Cotta Ramusino M, Costa A, Pichiecchio A, Farina LM, Jirsa V, Ritter P, Gandini Wheeler-Kingshott CAM and D’Angelo E
Front. Aging Neurosci. 15:1204134   |  1663-4365   |   July 2023

A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data

Amrit Kashyap; Sergey Plis; Petra Ritter; Shella Keilholz
Frontiers in Neuroscience, Vol 17 (2023)   |  1663-4365   |   July 2023

AISN Information Platforms

The AISN project will implement a targeted communication for information and trust building about AI in healthcare systens.

AISN Data Management Plan

A Data Management Plan (DMP) is a formal document outlining how data will be handled during and after a research project. Its primary goal is to ensure the effective management, preservation, and sharing of data throughout the project lifecycle.

Learning how network structure shapes decision-making for bio-inspired computing

Schirner, M., Deco, G. & Ritter, P.
Nat Commun 14, 2963 (2023)   |  2041-1723nbsp]  |   May 2023

AISN Ethics and Legal Workshop

AISN partners, the University of Vienna and the University of Oxford, provided the abstract and the workshop.