Publikationen von Andreas Christian Schneider

Makkeh, A.; Graetz, M.; Schneider, A. C.; Ehrlich, D. A.; Priesemann, V.; Wibral, M.: 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 122 (10), e2408125122 (2025)

Ehrlich, D. A.; Schneider, A. C.; Priesemann, V.; Wibral, M.; Makkeh, A.: A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. Transactions on Machine Learning Research 05/2023 (2023)

Makkeh, A.; Wibral, M.; Graetz, M.; Schneider, A. C.; Priesemann, V.: Infomorphic Neurons: Locally learning pyramidal- inspired neurons derived from partial information decomposition. arxiv (2023)