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 | 16* | 2022 |
Infomorphic networks: Locally learning neural networks derived from partial information decomposition M Graetz, A Makkeh, AC Schneider, DA Ehrlich, V Priesemann, M Wibral arXiv preprint arXiv:2306.02149, 2023 | 3 | 2023 |
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, ... arXiv preprint arXiv:2311.06373, 2023 | | 2023 |
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 e-prints, arXiv: 2306.02149, 2023 | | 2023 |