Search results

    Filter results

  • Full text

  • Document type

  • Publication year

  • Organisation

Results: 4
Number of items: 4
  • Open Access
    Brucklacher, M., Pezzulo, G., Mannella, F., Galati, G., & Pennartz, C. M. A. (2025). Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits. Neural Networks, 181, Article 106716. https://doi.org/10.1016/j.neunet.2024.106716
  • Open Access
    Brucklacher, M. M. (2025). Representation learning with generative neural networks: A biological perspective. [Thesis, fully internal, Universiteit van Amsterdam].
  • Brucklacher, M., Lee, K., Moreni, G., Mejías, J. F., Bohté, S. M., & Pennartz, C. M. A. (2024). Predictive processing in neuroscience, computational modeling and psychology. In J. H. Grafman (Ed.), Encyclopedia of the Human Brain (2nd ed., Vol. 4, pp. 645-667). Elsevier. https://doi.org/10.1016/b978-0-12-820480-1.00201-1
  • Open Access
    Brucklacher, M., Bohté, S. M., Mejias, J. F., & Pennartz, C. M. A. (2023). Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. Frontiers in Computational Neuroscience, 17, Article 1207361. https://doi.org/10.3389/fncom.2023.1207361
Page of