Eduardo Ros
Eduardo Ros
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Cited by
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
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
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
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
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
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
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
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
Background subtraction based on color and depth using active sensors
EJ Fernandez-Sanchez, J Diaz, E Ros
Sensors 13 (7), 8895-8915, 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
Robust bioinspired architecture for optical-flow computation
G Botella, A García, M Rodríguez-Álvarez, E Ros, U Meyer-Baese, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 18 (4), 616-629, 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
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
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
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
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
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
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
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
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
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