Neural networks: An overview of early research, current frameworks and new challenges A Prieto, B Prieto, EM Ortigosa, E Ros, F Pelayo, J Ortega, I Rojas Neurocomputing 214, 242-268, 2016 | 360 | 2016 |
FPGA-based real-time optical-flow system J Díaz, E Ros, F Pelayo, EM Ortigosa, S Mota IEEE transactions on circuits and systems for video technology 16 (2), 274-279, 2006 | 273 | 2006 |
Lane-change decision aid system based on motion-driven vehicle tracking JD Alonso, ER Vidal, A Rotter, M Muhlenberg IEEE Transactions on Vehicular Technology 57 (5), 2736-2746, 2008 | 174 | 2008 |
A comparison of FPGA and GPU for real-time phase-based optical flow, stereo, and local image features K Pauwels, M Tomasi, JD Alonso, E Ros, MM Van Hulle IEEE Transactions on Computers 61 (7), 999-1012, 2011 | 171 | 2011 |
Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics E Ros, R Carrillo, EM Ortigosa, B Barbour, R Agís Neural computation 18 (12), 2959-2993, 2006 | 147 | 2006 |
Connecting artificial brains to robots in a comprehensive simulation framework: the neurorobotics platform E Falotico, L Vannucci, A Ambrosano, U Albanese, S Ulbrich, ... Frontiers in neurorobotics 11, 2, 2017 | 145 | 2017 |
Timing in the cerebellum: oscillations and resonance in the granular layer E D'Angelo, SKE Koekkoek, P Lombardo, S Solinas, E Ros, J Garrido, ... Neuroscience 162 (3), 805-815, 2009 | 139 | 2009 |
A real-time spiking cerebellum model for learning robot control RR Carrillo, E Ros, C Boucheny, JMDC Olivier Biosystems 94 (1-2), 18-27, 2008 | 127 | 2008 |
Background subtraction based on color and depth using active sensors EJ Fernandez-Sanchez, J Diaz, E Ros Sensors 13 (7), 8895-8915, 2013 | 122 | 2013 |
Real-time computing platform for spiking neurons (RT-spike) E Ros, EM Ortigosa, R Agís, R Carrillo, M Arnold IEEE Trans. Neural Networks 17 (4), 1050-1063, 2006 | 110 | 2006 |
Robust bioinspired architecture for optical-flow computation G Botella, A Garcia, M Rodriguez-Alvarez, E Ros, U Meyer-Baese, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18 (4), 616-629, 2009 | 101 | 2009 |
Hardware description of multi-layer perceptrons with different abstraction levels EM Ortigosa, A Cañas, E Ros, PM Ortigosa, S Mota, J Díaz Microprocessors and Microsystems 30 (7), 435-444, 2006 | 97 | 2006 |
Real-time model-based rigid object pose estimation and tracking combining dense and sparse visual cues K Pauwels, L Rubio, J Diaz, E Ros Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 95 | 2013 |
Distributed circuit plasticity: new clues for the cerebellar mechanisms of learning E D’Angelo, L Mapelli, C Casellato, JA Garrido, N Luque, J Monaco, ... The Cerebellum 15, 139-151, 2016 | 91 | 2016 |
Real-time clustering and multi-target tracking using event-based sensors F Barranco, C Fermuller, E Ros 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 88 | 2018 |
Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation JA Garrido, NR Luque, E D'Angelo, E Ros Frontiers in Neural Circuits 7, 159, 2013 | 88 | 2013 |
Parallel architecture for hierarchical optical flow estimation based on FPGA F Barranco, M Tomasi, J Diaz, M Vanegas, E Ros IEEE transactions on very large scale integration (VLSI) systems 20 (6 …, 2011 | 86 | 2011 |
Modeling the cerebellar microcircuit: new strategies for a long-standing issue E D’Angelo, A Antonietti, S Casali, C Casellato, JA Garrido, NR Luque, ... Frontiers in cellular neuroscience 10, 176, 2016 | 85 | 2016 |
Adaptive cerebellar spiking model embedded in the control loop: Context switching and robustness against noise NR Luque, JA Garrido, RR Carrillo, S Tolu, E Ros International journal of neural systems 21 (05), 385-401, 2011 | 85 | 2011 |
Adaptive robotic control driven by a versatile spiking cerebellar network C Casellato, A Antonietti, JA Garrido, RR Carrillo, NR Luque, E Ros, ... PLoS one 9 (11), e112265, 2014 | 83 | 2014 |