Publications

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A cerebellar-based solution to the nondeterministic time delay problem in robotic control

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On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

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Reconfigurable cyber-physical system for critical infrastructure protection in smart cities via smart video-surveillance

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Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

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A Metric for Evaluating Neural Input Representation in Supervised Learning Networks

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Silent and bursting states of Purkinje cell activity modulate VOR adaptation

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EDLUT: a real-time spiking neural network simulator for embodiment experiments

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Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-Processing for Spiking Neural Networks

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Distributed Cerebellar Motor Learning: a Spike-Timing-Dependent Plasticity Model

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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

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Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process

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Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

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Connection Control Implications in a Distributed Plasticity Cerebellar Model

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CPU-GPU hybrid platform for efficient spiking neural-network simulation

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The Possible Control Implications of the Inferior Olive-Deep Cerebellar Nuclei pathway in a Distributed Plasticity Cerebellar Model

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Dynamics Model Abstraction Scheme Using Radial Basis Functions

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Adaptive Cerebellar spiking model embedded in the control loop: context switching and robustness against noise

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Event and Time Driven Hybrid Simulation of Spiking Neural Networks

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Context Separability Mediated by the Granular Layer in a Spiking Cerebellum Model for Robot Control

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Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks

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Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks

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Cerebellar spiking engine: Towards objet model abstraction in manipulation

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Local image phase, energy and orientation extraction using FPGAs

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Event-driven simulation of cerebellar granule cells

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A real-time spiking cerebellum model for learning robot control

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Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance

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Hardware Event-driven Simulation Engine for Spiking Neural Networks

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Image Processing Architecture for Local Features Computation

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A Space Variant Mapping Architecture for Reliable Car Segmentation

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Event-driven simulation of neural population synchronization facilitated by electrical coupling

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Real-Time System for High-Image Resolution Disparity Estimation

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Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics

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Real-time computing platform for spiking neurons (RT-Spike)

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Event-driven simulation engine for spiking neural networks on a chip

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Sistema evolutivo de control de un brazo robot: Optimización de constantes dinámicas

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Spiking Neurons Computing Platform

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Real-Time Spiking Neural Network: An Adaptive Cerebellar Model

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Lookup Table Powered Neural Event-Driven Simulator

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Monitoring a mobile robot using a web interface

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Adaptive spiking cerebellar models and real-time simulations

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Sistema de control basado en visión y propiacepción de robots con FPGA

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Generador automático de sistemas bioinspirados de visión en hardware reconfigurable

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Cómputo de flujo óptico en tiempo real mediante FPGAs

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Real-time visual motion detection of overtaking cars for driving assistance using FPGAs

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Real time optical flow processing system

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Implementación en FPGAs de una Plataforma de Simulación de Neuronas de Pulsos

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Implementación de Redes Neuronales con FPGAs para el Reconocimiento del Habla

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Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model

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FPGA implementation of a Perceptron-Like Neural Network for Embedded Applications

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Entorno hardware-software para experimentación basado en un micro-robot

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