| Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception M Brucklacher, SM Bohte, JF Mejias, CMA Pennartz Frontiers in Computational Neuroscience 17, 2023 | 8 | 2023 |
| Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits M Brucklacher, G Pezzulo, F Mannella, G Galati, CMA Pennartz bioRxiv, 2023.11. 15.567170, 2023 | 1 | 2023 |
| Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements R Weiler, M Brucklacher, C Pennartz, SM Bohté arXiv preprint arXiv:2404.08526, 2024 | | 2024 |
| Self-supervised representation learning via saccadic unmasking R Weiler, M Brucklacher, S Bohté, C Pennartz Bernstein Conference 2023. doi: 10.12751/nncn.bc2023.138, 2023 | | 2023 |
| Hierarchical planning in multilayered state-action networks M Brucklacher, HA Mallot, T Baumann ESANN 2021 - 29th European Symposium on Artificial Neural Networks …, 2021 | | 2021 |
