| Fast and efficient asynchronous neural computation with adapting spiking neural networks D Zambrano, SM Bohte arXiv preprint arXiv:1609.02053, 2016 | 28 | 2016 |
| Towards a Neuromorphic Vestibular System F Corradi, D Zambrano, M Raglianti, G Passetti, C Laschi, G Indiveri IEEE, 2014 | 19 | 2014 |
| Efficient computation in adaptive artificial spiking neural networks D Zambrano, R Nusselder, HS Scholte, S Bohte arXiv preprint arXiv:1710.04838, 2017 | 16 | 2017 |
| A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot E Franchi, E Falotico, D Zambrano, GG Muscolo, L Marazzato, P Dario, ... 2010 10th IEEE-RAS International Conference on Humanoid Robots, 251-256, 2010 | 15 | 2010 |
| A model of the smooth pursuit eye movement with prediction and learning D Zambrano, E Falotico, L Manfredi, C Laschi Applied Bionics and Biomechanics 7 (2), 109-118, 2010 | 15 | 2010 |
| The Morphological Computation Principles as a New Paradigm for Robotic Design D Zambrano, C Matteo, C Laschi Opinions and Outlooks on Morphological Computation, 214–225, 2014 | 14 | 2014 |
| Implementation of a bio-inspired visual tracking model on the iCub robot E Falotico, D Zambrano, GG Muscolo, L Marazzato, P Dario, C Laschi 19th International Symposium in Robot and Human Interactive Communication …, 2010 | 13 | 2010 |
| Predictive tracking across occlusions in the icub robot E Falotico, M Taiana, D Zambrano, A Bernardino, J Santos-Victor, P Dario, ... 2009 9th IEEE-RAS International Conference on Humanoid Robots, 486-491, 2009 | 12 | 2009 |
| An image representation based convolutional network for DNA classification B Yin, M Balvert, D Zambrano, A Schönhuth, S Bohte arXiv preprint arXiv:1806.04931, 2018 | 11 | 2018 |
| Continuous-time on-policy neural reinforcement learning of working memory tasks D Zambrano, PR Roelfsema, SM Bohte Neural Networks (IJCNN), 2015 International Joint Conference on, 2015 | 9 | 2015 |
| A comparison of human trajectory planning models for implementation on humanoid robot D Zambrano, D Bernardin, D Bennequin, C Laschi, A Berthoz 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 6 | 2012 |
| Sparse computation in adaptive spiking neural networks D Zambrano, R Nusselder, HS Scholte, SM Bohté Frontiers in neuroscience 12, 987, 2019 | 5 | 2019 |
| Implementation of a neuromorphic vestibular sensor with analog VLSI neurons G Passetti, F Corradi, M Raglianti, D Zambrano, C Laschi, G Indiveri 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 174-177, 2013 | 4 | 2013 |
| Gating sensory noise in a spiking subtractive lstm I Pozzi, R Nusselder, D Zambrano, S Bohté International Conference on Artificial Neural Networks, 284-293, 2018 | 3 | 2018 |
| Spiking AGREL D Zambrano, J Rombouts, C Laschi, S Bohte signal 2 (3), 3.5, 2014 | 1 | 2014 |
| Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks M Karamanis, D Zambrano, S Bohté International Conference on Artificial Neural Networks, 250-262, 2018 | | 2018 |
| Gating out sensory noise in a spike-based Long Short-Term Memory network D Zambrano, I Pozzi, R Nusselder, S Bohte | | 2018 |
| Special track on neurocomputing & deep learning and continuos-time computing (NC&DLCC) C Laschi, E Falotico, M Gewaltig, F Röhrbein, P Levi, S Ulbrich, ... | | 2016 |
| Gaze control modelling and robotic implementation D Zambrano | | 2012 |
| Adapting spiking neural networks SM Bohté, D Zambrano | | |
Sander BohteResearch Scientist, CWI AmsterdamVerified email at cwi.nl
