David Alexander Ehrlich

20222023202420251 12 30 2

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Michael WibralProfessor for Data Driven Analysis of Biological Networks, Georg-August University, GöttingenVerified email at michael-wibral.de
Abdullah MakkehPostdoc, University of GöttingenVerified email at uni-goettingen.de
Andreas C. SchneiderPhD Student in Physics, Max Planck Institute for Dynamics and Self-OrganizationVerified email at ds.mpg.de
Viola PriesemannMax Planck Institute for Dynamics and SelforganizationVerified email at ds.mpg.de
Patricia WollstadtHonda Research Institute Europe GmbHVerified email at honda-ri.de
Felix LanfermannHonda Research Institute EuropeVerified email at honda-ri.de

David Alexander Ehrlich

Verified email at uni-goettingen.de


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A measure of the complexity of neural representations based on partial information decomposition DA Ehrlich, AC Schneider, V Priesemann, M Wibral, A Makkeh arXiv preprint arXiv:2209.10438, 2022	30*	2022
Partial information decomposition for continuous variables based on shared exclusions: Analytical formulation and estimation DA Ehrlich, K Schick-Poland, A Makkeh, F Lanfermann, P Wollstadt, ... Physical Review E 110 (1), 014115, 2024	9	2024
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions A Makkeh, M Graetz, AC Schneider, DA Ehrlich, V Priesemann, M Wibral arXiv preprint arXiv:2306.02149, 2023	5*	2023
What should a neuron aim for? Designing local objective functions based on information theory AC Schneider, V Neuhaus, DA Ehrlich, A Makkeh, AS Ecker, ... arXiv preprint arXiv:2412.02482, 2024	1	2024

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