Go to content
UR Home

A graph neural network framework for causal inference in brain networks

URN to cite this document:
DOI to cite this document:
Wein, Simon ; Malloni, Wilhelm ; Tomé, Ana Maria ; Frank, S. ; Henze, Gina-Isabelle ; Wüst, S. ; Greenlee, Mark W. ; Lang, Elmar
License: Creative Commons Attribution 4.0
PDF - Published Version
Date of publication of this fulltext: 12 Oct 2021 07:54


A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial and temporal dependencies between different brain areas, fully comprehending the interplay between structure and function is still challenging and an area of intense research. In this paper we present a graph neural ...


Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons