Simulation-based inference for efficient identification of generative models in computational connectomics

• Jan Boelts ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: jan.boelts@mainbox.org

  Affiliations Machine Learning in Science, University of Tübingen, Tübingen, Germany, Tübingen AI Center, University of Tübingen, Tübingen, Germany

  https://orcid.org/0000-0003-4979-7092

  ⨯
• Philipp Harth,

  Roles Formal analysis, Investigation, Software, Visualization, Writing – review & editing

  Affiliation Department of Visual and Data-centric Computing, Zuse Institute Berlin, Berlin, Germany

  https://orcid.org/0000-0001-8831-3893

  ⨯
• Richard Gao,

  Roles Visualization, Writing – review & editing

  Affiliations Machine Learning in Science, University of Tübingen, Tübingen, Germany, Tübingen AI Center, University of Tübingen, Tübingen, Germany

  ⨯
• Daniel Udvary,

  Roles Resources, Writing – review & editing

  Affiliation In Silico Brain Sciences, Max Planck Institute for Neurobiology of Behavior – caesar, Bonn, Germany

  https://orcid.org/0000-0002-8697-3975

  ⨯
• Felipe Yáñez,

  Roles Investigation, Writing – review & editing

  Affiliation In Silico Brain Sciences, Max Planck Institute for Neurobiology of Behavior – caesar, Bonn, Germany

  ⨯
• Daniel Baum,

  Roles Funding acquisition, Supervision, Writing – review & editing

  Affiliation Department of Visual and Data-centric Computing, Zuse Institute Berlin, Berlin, Germany

  https://orcid.org/0000-0003-1550-7245

  ⨯
• Hans-Christian Hege,

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  Affiliation Department of Visual and Data-centric Computing, Zuse Institute Berlin, Berlin, Germany

  ⨯
• Marcel Oberlaender,

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  Affiliations In Silico Brain Sciences, Max Planck Institute for Neurobiology of Behavior – caesar, Bonn, Germany, Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Free University Amsterdam, Amsterdam, Netherlands

  ⨯
• Jakob H. Macke

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Visualization, Writing – review & editing

  Affiliations Machine Learning in Science, University of Tübingen, Tübingen, Germany, Tübingen AI Center, University of Tübingen, Tübingen, Germany, Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany

  ⨯