Publications

A. Bruel, Ignacio Abadia, T. Collin, I. Sakr, H. Lorach, Niceto Luque, Eduardo Ros, A. Ijspeert (2024). The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation. Plos Comp. Biol..

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Álvaro González, Jesús Garrido, Francisco Naveros, J.H. Kotaleski, S. Grillner, Eduardo Ros (2023). Reinforcement learning in a spiking neural model of striatum plasticity. Neurocomp..

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B. Valencia-Vidal, Eduardo Ros, Ignacio Abadia, Niceto Luque (2023). Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation. Front. Neurorobotics.

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Nicolás C. Cruz, Álvaro González, Juana L. Redondo, Jesús Garrido, Eva M. Ortigosa, Pilar M. Ortigosa (2022). Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity. Front. Neuroinform..

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Niceto Luque, Francisco Naveros, Ignacio Abadia, Eduardo Ros, A. Arleo (2022). Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation. Neural Netw.

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Niceto Luque, Francisco Naveros, D. Sheynikhovich, Eduardo Ros, A. Arleo (2022). Computational epidemiology study of homeostatic compensation during sensorimotor aging. Neural Netw.

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Ignacio Abadia, Francisco Naveros, Eduardo Ros, Ríchard R. Carrillo, Niceto Luque (2021). A cerebellar-based solution to the nondeterministic time delay problem in robotic control. Science Robotics.

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Milagros Marín, N.C. Cruz, E.M. Ortigosa, M.J. Sáez-Lara, Jesús Garrido, Ríchard R. Carrillo (2021). On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell. Front. Neuroinform..

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Álvaro González, Francisco Naveros, Eduardo Ros, Jesús Garrido (2020). A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease. Int. J. Neural Syst..

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Milagros Marín, M.J. Sáez-Lara, Eduardo Ros, Jesús Garrido (2020). Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell. Front. Cell. Neurosci..

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S.E. Galindo, P. Toharia, O.D. Robles, Eduardo Ros, L. Pastor, Jesús Garrido (2020). Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks. Neurocomputing.

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Milagros Marín, F.J. Esteban, H. Ramírez-Rodrigo, Eduardo Ros, M.J. Sáez-Lara (2019). An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies. BMC Bioinformatics.

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Ignacio Abadia, Francisco Naveros, Jesús Garrido, Eduardo Ros, Niceto Luque (2019). On robot compliance. A cerebellar control approach. IEEE trans. on cybernetics.

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Niceto Luque, Francisco Naveros, Ríchard R. Carrillo, Eduardo Ros, A. Arleo (2019). Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS. Comput. Biol..

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Francisco Naveros, Niceto Luque, Eduardo Ros, A. Arleo (2019). VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model. IEEE Trans. Cybern..

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Ríchard R. Carrillo, Francisco Naveros, Eduardo Ros, Niceto Luque (2018). A Metric for Evaluating Neural Input Representation in Supervised Learning Networks. Front. Neurosci..

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Francisco Naveros, Jesús Garrido, A. Arleo, Eduardo Ros, Niceto Luque (2018). Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study. IROS.

C. Fermüller, F. Wang, Y. Yang, K. Zampogiannis, Y. Zhang, Francisco Barranco, M. Pfeiffer (2018). Prediction of Manipulation Actions. Int. J. Comp. Vis..

Francisco Naveros, Jesús Garrido, Ríchard R. Carrillo, Eduardo Ros, Niceto Luque (2017). Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks. Front. Neuroinform..

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C. Richter, S. Jentzsch, R. Hostettler, Jesús Garrido, Eduardo Ros, A. Knoll, F. Röhrbein, P. van der Smagt, J. Conradt (2016). Musculoskeletal Robots. Scalability in Neural Control. IEEE Robot. Autom. Mag.

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Jesús Garrido, Niceto Luque, S. Tolu, E. D'Angelo (2016). Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks. Int. J. Neur. Syst..

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E. D'Angelo, A. Antonietti, S. Casali, C. Casellato, Jesús Garrido, Niceto Luque, L. Mapelli, S. Masoli, A. Pedrocchi, F. Prestori, M.F. Rizza, Eduardo Ros (2016). Modeling the Cerebellar Microcircuit. New Strategies for a Long-Standing Issue. Front. Cell. Neurosci..

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E. D'Angelo, L. Mapelli, C. Casellato, Jesús Garrido, Niceto Luque, J. Monaco, F. Prestori, A. Pedrocchi, Eduardo Ros (2016). Distributed Circuit Plasticity. New Clues for the Cerebellar Mechanisms of Learning. Cerebellum.

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Francisco Barranco, C. Fermüller, Y. Aloimonos, T. Delbruck (2016). A Dataset for Visual Navigation with Neuromorphic Methods. Front. in Neurosc..

Niceto Luque, Jesús Garrido, Francisco Naveros, Ríchard R. Carrillo, E. D'Angelo, Eduardo Ros (2016). Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model. Front. Comput. Neurosci..

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Alberto Antonietti, Claudia Casellato, Jesús Garrido, Niceto Luque, Francisco Naveros, Eduardo Ros, Egidio D'Angelo, Alessandra Pedrocchi (2015). Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms. IEEE Trans. Biomed. Eng..

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Francisco Barranco, M. Tomasi, M. Vanegas, J. Díaz, S. Granados, Eduardo Ros (2015). Prediction of Manipulation Actions. J. of Real-Time Proc..

C. Casellato, A. Antonietti, Jesús Garrido, G. Ferrigno, E. D'Angelo, A. Pedrocchi (2015). Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks. Front. Comput. Neurosci..

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Francisco Barranco, C.L. Teo, C. Fermüller, Y. Aloimonos (2015). Contour Detection and Characterization for Asynchronous Event Sensors. ICCV 2015.

Francisco Barranco, C. Fermüller, Y. Aloimonos (2015). Bio-inspired Motion Estimation with Event-Driven Sensors. IWANN 2015.

Francisco Naveros, Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, M. Anguita, Eduardo Ros (2015). A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study. IEEE Trans. Neural Netw. Learn. Syst..

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L. Mapelli, M. Pagani, Jesús Garrido, E. D'Angelo (2015). Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit. Front. Cell. Neurosci..

Alberto Antonietti, Claudia Casellato, Jesús Garrido, Egidio D'Angelo, Alessandra Pedrocchi (2015). Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning. Neural Engineering (NER).

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Niceto Luque, Ríchard R. Carrillo, Francisco Naveros, Jesús Garrido, M.J. Sáez-Lara (2014). Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process. Rob. Aut. Sys..

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Claudia Casellato, Alberto Antonietti, Jesús Garrido, Ríchard R. Carrillo, Niceto Luque, Eduardo Ros, Alessandra Pedrocchi, Egidio D'Angelo (2014). Adaptive robotic control driven by a versatile spiking cerebellar network. PLOS ONE.

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Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, E. D'Angelo, Eduardo Ros (2014). Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation. Front. Comput. Neurosci..

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Francisco Barranco, J. Díaz, B. Pino, Eduardo Ros (2014). Real-time visual saliency architecture for FPGA with top-down attention modulation. IEEE. Trans. on Ind. Inf..

S. Granados, Francisco Barranco, S. Mota, J. Díaz, Eduardo Ros (2014). On-chip semidense representation map for dense visual features driven by attention processes. J. of Real-Time Imag. Proc..

C. Casellato, A. Antonietti, Jesús Garrido, A. Pedrocchi, E. D'Angelo (2014). Distributed cerebellar plasticity implements multiple-scale memory components of Vestibulo-Ocular Reflex in real-robots. BioRob 2014.

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Francisco Barranco, C. Fermüller, Y. Aloimonos (2014). Contour motion estimation for asynchronous event-driven cameras. Proc. of the IEEE.

Francisco Barranco, C. Fermüller, Y. Aloimonos (2014). Contour motion estimation for address-event data. CVPR 2014.

Jesús Garrido, Niceto Luque, E. D'Angelo, Eduardo Ros (2013). Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation. Front. Neural Circuits.

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E. D'Angelo, S. Solinas, Jesús Garrido, C. Casellato, A. Pedrocchi, J. Mapelli, D. Gandolfi, F. Prestori (2013). Realistic modeling of neurons and networks: towards brain simulation. Funct. Neurol..

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Francisco Barranco, M. Tomasi, J. Díaz, M. Vanegas, Eduardo Ros (2013). Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs. Dig. Sig. Proc..

L.L. Bologna, J. Pinoteau, J.B. Passot, Jesús Garrido, J. Vogel, Eduardo Ros, A. Arleo (2013). A closed-loop neurobotic system for fine touch sensing. J. Neural Eng..

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S. Tolu, M. Vanegas, Jesús Garrido, Niceto Luque, Eduardo Ros (2013). Adaptive and predictive control of a simulated robot arm. Int. J. Neur. Syst..

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S. Tolu, M. Vanegas, R. Agís, Ríchard R. Carrillo, A. Cañas (2012). Dynamics Model Abstraction Scheme Using Radial Basis Functions. Journ. Cont. Sci. Engin..

S. Tolu, M. Vanegas, Niceto Luque, Jesús Garrido, Eduardo Ros (2012). Bio-inspired adaptive feedback error learning architecture for motor control. Biol. Cybern..

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Niceto Luque, Jesús Garrido, J. Ralli, J.L. Jiménez, Eduardo Ros (2012). From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm. Int. J. Neur. Syst..

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Francisco Barranco, J. Díaz, A. Gibaldi, S.P. Sabatini, Eduardo Ros (2012). Vector disparity sensor with vergence control for active vision systems. Sensors.

M. Tomasi, M. Vanegas, Francisco Barranco, J. Díaz, Eduardo Ros (2012). Real-time architecture for a robust multi-scale stereo engine on FPGA. IEEE Trans. on VLSI Syst..

Francisco Barranco, M. Tomasi, J. Díaz, M. Vanegas, Eduardo Ros (2012). Parallel architecture for hierarchical optical flow estimation based on FPGA. IEEE Trans. on VLSI Syst..

M. Tomasi, M. Vanegas, Francisco Barranco, J. Díaz, Eduardo Ros (2012). Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation. IEEE Trans. on Circ. and Syst. for Vid. Tech..

R. Agís, Eduardo Ros, J. Díaz, Ríchard R. Carrillo, E.M. Ortigosa (2012). Bottom-up visual attention model based on FPGA. ICECS 2012.

C. Casellato, A. Pedrocchi, Jesús Garrido, Niceto Luque, G. Ferrigno, E. D'Angelo, Eduardo Ros (2012). An integrated motor control loop of a human-like robotic arm: feedforward, feedback and cerebellum-based learning. BioRob 2012.

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L.L. Bologna, J. Pinoteau, Jesús Garrido, A. Arleo (2012). Active tactile sensing in a neurorobotic Braille-reading system. BioRob 2012.

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Francisco Barranco, J. Díaz, B. Pino, Eduardo Ros (2012). A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation. J. of Vis. Comm. and Imag. Repr..

J. Pinoteau, L.L. Bologna, Jesús Garrido, A. Arleo (2012). A closed-loop neurorobotic system for investigating braille-reading finger kinematics. EuroHaptics 2012.

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Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, S. Tolu, Eduardo Ros (2011). Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise. Int. J. Neural Syst..

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Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, O.J.M.D. Coenen, Eduardo Ros (2011). Cerebellar input configuration toward object model abstraction in manipulation tasks. IEEE Trans. Neural Netw..

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Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, O.J.M.D. Coenen, Eduardo Ros (2011). Context separability mediated by the granular layer in a spiking cerebellum model for robot control. IWANN 2011.

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Jesús Garrido, Niceto Luque, Ríchard R. Carrillo, Eduardo Ros (2011). Event and time driven hybrid simulation of spiking neural networks. IWANN 2011.

Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, O.J.M.D. Coenen, Eduardo Ros (2011). Cerebellarlike corrective model inference engine for manipulation tasks. IEEE Trans. Syst. Man, Cybern. B, Cybern..

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Niceto Luque, Jesús Garrido, Ríchard R. Carrillo, Eduardo Ros (2010). Cerebellar spiking engine: Towards objet model abstraction in manipulation. IJCNN 2010.

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E. D'Angelo, S.K.E. Koekkoek, P. Lombardo, S. Solinas, Eduardo Ros, Jesús Garrido, M. Schonewille, C.I. De Zeeuw (2009). Timing in the cerebellum: oscillations and resonance in the granular layer. Neurosci..

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J. Díaz, Eduardo Ros, S. Mota, Ríchard R. Carrillo (2008). Local image phase, energy and orientation extraction using FPGAs. Int. J. Electronics.

Ríchard R. Carrillo, Eduardo Ros, S. Tolu, T. Nieus, E. D'Angelo (2008). Event-driven simulation of cerebellar granule cells. Biosystems.

Ríchard R. Carrillo, Eduardo Ros, C. Boucheny, O.J.M.D. Coenen (2008). A real-time spiking cerebellum model for learning robot control. Biosystems.

J. Díaz, Eduardo Ros, Ríchard R. Carrillo, A. Prieto (2007). Real-Time System for High-Image Resolution Disparity Estimation. IEEE Trans. Im. Proc..

J. Díaz, Eduardo Ros, S. Mota, Ríchard R. Carrillo (2007). Image Processing Architecture for Local Features Computation. ARC07.

S. Mota, Eduardo Ros, J. Díaz, R. Agís, R. Rodríguez-Gómez, Ríchard R. Carrillo (2007). Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance, Pattern Recognition and Image Analysis. IbPRIA 2007.

R. Agís, Eduardo Ros, J. Díaz, Ríchard R. Carrillo, E.M. Ortigosa (2007). Hardware Event-driven Simulation Engine for Spiking Neural Networks. Int. Jour. Elect..

S. Mota, Eduardo Ros, J. Díaz, R. Rodríguez-Gómez, Ríchard R. Carrillo (2007). A Space Variant Mapping Architecture for Reliable Car Segmentation. ARC 2007.

Eduardo Ros, Ríchard R. Carrillo, E.M. Ortigosa, B. Barbour, R. Agís (2006). Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics. Neur. Computat..

Eduardo Ros, E.M. Ortigosa, R. Agís, Ríchard R. Carrillo, M. Arnold (2006). Real-time computing platform for spiking neurons (RT-Spike). IEEE Trans. Neur. Netw..

R. Agís, J. Díaz, Eduardo Ros, Ríchard R. Carrillo, E.M. Ortigosa (2006). Event-driven simulation engine for spiking neural networks on a chip. ARC 2006.

R. Agís, Eduardo Ros, F.J. Pelayo, Ríchard R. Carrillo, E.M. Ortigosa, R. Rodríguez, J. Días, S. Mota (2005). Sistema evolutivo de control de un brazo robot. Optimización de constantes dinámicas. JCRA 2005.

C. Boucheny, Ríchard R. Carrillo, Eduardo Ros, O.J.M. Coenen (2005). Real-Time Spiking Neural Network: An Adaptive Cerebellar Model. IWANN 2005.

Ríchard R. Carrillo, Eduardo Ros, E.M. Ortigosa, B. Barbour, R. Agís (2005). Lookup Table Powered Neural Event-Driven Simulator. IWANN 2005.

Ríchard R. Carrillo, Eduardo Ros, B. Barbour, C. Boucheny, O.J.M. Coenen (2005). Event-driven simulation of neural population synchronization facilitated by electrical coupling. Biosystems.

Eduardo Ros, E.M. Ortigosa, R. Agís, Ríchard R. Carrillo, A. Prieto, M. Arnold (2005). Spiking Neurons Computing Platform. IWANN 2005.

R. Agís, Ríchard R. Carrillo, V. Moran, A. Gonzalez, C. Morillas, F.J. Pelayo, J.L. Bernier (2005). Monitoring a mobile robot using a web interface. mICTE 2005.

R. Agís, Eduardo Ros, J. Díaz, S. Mota, Ríchard R. Carrillo, E. Ortigosa, F.J. Pelayo, A. Prieto (2004). Sistema de control basado en visión y propiacepción de robots con FPGA. JCRA 2004.

A. Martinez, F. Pelayo, C.A. Morillas, S. Romero, Ríchard R. Carrillo, B. del Pino (2004). Generador automático de sistemas bioinspirados de visión en hardware reconfigurable. JCRA 2004.

J. Díaz, Eduardo Ros, S. Mota, E.M. Ortigosa, Ríchard R. Carrillo, R. Agís (2004). Cómputo de flujo óptico en tiempo real mediante FPGAs. JCRA 2004.

S. Mota, Eduardo Ros, J. Díaz, E.M. Ortigosa, R. Agís, Ríchard R. Carrillo (2004). Real-time visual motion detection of overtaking cars for driving assistance using FPGAs. FPL 2004.

J. Díaz, Eduardo Ros, S. Mota, Ríchard R. Carrillo, R. Agís (2004). Real time optical flow processing system. 14th International Conference, FPL 2004.

O.J.M. Coenen, C. Boucheny, M. Bezzi, D. Marchal, M.P. Arnold, Eduardo Ros, Ríchard R. Carrillo, E.M. Ortigosa, R. Agís, B. Barbour, A. Arleo, T. Nieus, E. D'Angelo (2004). Adaptive spiking cerebellar models and real-time simulations. SFN2004.

R. Agís, Eduardo Ros, Ríchard R. Carrillo, E.M. Ortigosa, F.J. Pelayo, A. Prieto (2003). Implementación en FPGAs de una Plataforma de Simulación de Neuronas de Pulsos. JCRA 2003.

E.M. Ortigosa, P.M. Ortigosa, A. Cañas, Eduardo Ros, Ríchard R. Carrillo, R. Agís (2003). Implementación de Redes Neuronales con FPGAs para el Reconocimiento del Habla. JCRA 2003.

Eduardo Ros, R. Agís, Ríchard R. Carrillo, E.M. Ortigosa, F.J. Pelayo, A. Prieto (2003). Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model. IWANN 2003.

E.M. Ortigosa, A. Cañas, Eduardo Ros, Ríchard R. Carrillo (2003). FPGA implementation of a Perceptron-Like Neural Network for Embedded Applications. IWANN 2003.

R. Agís, Ríchard R. Carrillo, A. Cañas, B. del Pino, F.J. Pelayo (2002). Entorno hardware-software para experimentación basado en un micro-robot. JCRA 2002.

Jesús Garrido, Eduardo Ros, E. D'Angelo (0001). Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study. Front. Comput. Neurosci..

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Jesús Garrido (0001). Simulation of biological neuronal structures. Design and functional study of the cerebellum. PhD Thessis.