| Property |
Value |
| Working Groups |
RG Priesemann |
| Subproject |
None |
| Open Access |
Yes |
| Publication Type |
Preprint |
| Peer Reviewed |
No |
| DOI |
10.48550/arxiv.2306.02149 |
| Publication Year |
2023 |
| Title |
Infomorphic networks: Locally learning neural networks derived from partial information decomposition |
| Journal |
arXiv |
| eISSN |
2331-8422 |
| URL |
https://arxiv.org/abs/2306.02149 |
| Journal Abbreviation |
arXiv |
| Extra |
Not yet finally published in a peer-reviewd journal. |
| Authors |
Graetz M, Makkeh A, Schneider AC, Ehrlich DA, Priesemann V, Wibral M |
| First Author |
Graetz M |
| Last Author |
Wibral M |
External Resources
arxiv.org/pdf/2306.02149https://arxiv.org/pdf/2306.02149 Article fulltext
2/139976https://publications.goettingen-research-online.de/handle/2/139976 GRO.publications identifier
0000-0001-8905-5873https://orcid.org/0000-0001-8905-5873 ORCID identifier (Viola Priesemann)
05a28rw58https://ror.org/05a28rw58 ROR identifier (05a28rw58, ETH Zurich)
0087djs12https://ror.org/0087djs12 ROR identifier (0087djs12, Max Planck Institute for Dynamics and Self Organization)
05xy1nn52https://ror.org/05xy1nn52 ROR identifier (05xy1nn52, Multiscale Bioimaging)
mbexc.de...ition/https://mbexc.de/infomorphic-networks-locally-learning-neural-networks-derived-from-partial-information-decomposition/ Website entry (mbexc.de)