| Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception M Brucklacher, SM Bohté, JF Mejias, CMA Pennartz Frontiers in Computational Neuroscience 17, 1207361, 2023 | 9 | 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 Neural Networks 181, 106716, 2025 | 1 | 2025 |
| Masked Image Modeling as a Framework for Self-Supervised Learning Across Eye Movements R Weiler, M Brucklacher, CMA Pennartz, SM Bohté International Conference on Artificial Neural Networks, 17-31, 2024 | | 2024 |
| Predictive processing in neuroscience, computational modeling and psychology M Brucklacher, K Lee, G Moreni, JF Mejías, SM Bohté, CMA Pennartz Elsevier, 2024 | | 2024 |
| Hierarchical planning in multilayered state-action networks M Brucklacher, HA Mallot, T Baumann ESANN 2021 - 29th European Symposium on Artificial Neural Networks …, 2021 | | 2021 |
