Elegir campos a generar del autor Richard

Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
A cerebellar-based solution to the nondeterministic time delay problem in robotic control
On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
Reconfigurable cyber-physical system for critical infrastructure protection in smart cities via smart video-surveillance
Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Event- and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks
Distributed cerebellar motor learning: A spike-timing-dependent plasticity model
A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: A closed-loop robotic simulation
Adaptive robotic control driven by a versatile spiking cerebellar network
Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process
Dynamics model abstraction scheme using radial basis functions
Cerebellarlike corrective model inference engine for manipulation tasks
Adaptive cerebellar spiking model embedded in the control loop: Context switching and robustness against noise
Cerebellar input configuration toward object model abstraction in manipulation tasks
A real-time spiking cerebellum model for learning robot control
Event-driven simulation of cerebellar granule cells
Hardware event-driven simulation engine for spiking neural networks
Real-time system for high-image resolution disparity estimation
Event-driven simulation of neural population synchronization facilitated by electrical coupling
Real-time computing platform for spiking neurons (RT-spike)
Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics
FPGA implementation of a perceptron-like neural network for embedded applications
Libros, capítulos, tesis Todos / Ninguno
Dealing with the perspective distortion to detect overtaking cars for driving assistance
Event-driven simulation engine for spiking neural networks on a chip
Real time optical flow processing system
Real-time visual motion detection of overtaking cars for driving assistance using FPGAs
Post-synaptic time-dependent conductances in spiking neurons: FPGA implementation of a flexible cell model
Conferencias Todos / Ninguno
Event and time driven hybrid simulation of spiking neural networks
Context separability mediated by the granular layer in a spiking cerebellum model for robot control
Cerebellar spiking engine: Towards objet model abstraction in manipulation
Local image phase, energy and orientation extraction using FPGAs
Image processing architecture for local features computation
A space variant mapping architecture for reliable car segmentation
Real-time spiking neural network: An adaptive cerebellar model
Spiking neurons computing platform
Lookup table powered neural event-driven simulator
Informes y otros Todos / Ninguno
Erratum: Adaptive robotic control driven by a versatile spiking cerebellar network (PLoS ONE (2014) 9:11 (e112265) doi:10.1371/journal.pone.0112265)
Métricas del autor Todos / Ninguno
Indice H