Aceituno, Pau Vilimelis and Farinha, Matilde Tristany and Loidl, Reinhard and Grewe, Benjamin F. Learning cortical hierarchies with temporal Hebbian updates, Frontiers in Computational Neuroscience, 2023

Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin Grewe Bio-inspired, task-free continual learning through activity regularization, Biological Cybernetics, 117:(4), 2023

Seijin Kobayashi, Pau Vilimelis Aceituno, Johannes Von Oswald Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel, Advances in Neural Information Processing Systems, 35:, 2022

Alexander Meulemans, Matilde Tristany Farinha, Javier García Ordóñez, Pau Vilimelis Aceituno, João Sacramento, Benjamin F. Grewe Credit Assignment in Neural Networks through Deep Feedback Control, 35th Conference on Neural Information Processing Systems (NeurIPS), 2021

Pau Vilimelis Aceituno Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications, International Conference on Complex Networks and Their Applications, 2021

Haessig, Germain and Milde, Moritz B. and Aceituno, Pau Vilimelis and Oubari, Omar and Knight, James C. and van Schaik, André and Benosman, Ryad B. and Indiveri, Giacomo Event-Based Computation for Touch Localization Based on Precise Spike Timing, Frontiers in Neuroscience, 2020

Pau Vilimelis Aceituno and Gang Yan and Yang-Yu Liu Tailoring Echo State Networks for Optimal Learning, iScience 101440, 2020