Scholar
Andreas C. Schneider
Google Scholar ID: yZOut_FkBmEC
PhD Student in Physics, Max Planck Institute for Dynamics and Self-Organization
Information theory
Neural networks
Physics
Machine Learning
Partial Information Decomposition
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
49
H-index
2
i10-index
2
Publications
5
Co-authors
5
list available
Contact
No contact links provided.
Publications
2 items
What should a neuron aim for? Designing local objective functions based on information theory
arXiv.org · 2024
Cited
1
A general framework for interpretable neural learning based on local information-theoretic goal functions
Proceedings of the National Academy of Sciences of the United States of America · 2023
Cited
1
Resume (English only)
Co-authors
5 total
Michael Wibral
Professor for Data Driven Analysis of Biological Networks, Georg-August University, Göttingen
Viola Priesemann
Max Planck Institute for Dynamics and Self-Organization
Abdullah Makkeh
Postdoc, University of Göttingen
David Alexander Ehrlich
PhD student, Physics, University of Göttingen
Valentin Neuhaus
PhD Student in Physics, Max Planck Institute for Dynamics and Self-Organization