Latest

• 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
• 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
• Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process
• Adaptive robotic control driven by a versatile spiking cerebellar network
• Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
• Dynamics Model Abstraction Scheme Using Radial Basis Functions
• Bottom-up visual attention model based on FPGA
• 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
• Context separability mediated by the granular layer in a spiking cerebellum model for robot control
• Event and time driven hybrid simulation of spiking neural networks
• Cerebellarlike corrective model inference engine for manipulation tasks
• Cerebellar spiking engine: Towards objet model abstraction in manipulation
• Local image phase, energy and orientation extraction using FPGAs
• A real-time spiking cerebellum model for learning robot control
• Event-driven simulation of cerebellar granule cells
• Image Processing Architecture for Local Features Computation
• Real-Time System for High-Image Resolution Disparity Estimation
• Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance, Pattern Recognition and Image Analysis
• Hardware Event-driven Simulation Engine for Spiking Neural Networks
• A Space Variant Mapping Architecture for Reliable Car Segmentation
• Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics
• Real-time computing platform for spiking neurons (RT-Spike)
• Event-driven simulation engine for spiking neural networks on a chip
• Sistema evolutivo de control de un brazo robot. Optimización de constantes dinámicas
• Event-driven simulation of neural population synchronization facilitated by electrical coupling
• Lookup Table Powered Neural Event-Driven Simulator
• Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
• Spiking Neurons Computing Platform
• Monitoring a mobile robot using a web interface
• Generador automático de sistemas bioinspirados de visión en hardware reconfigurable
• Sistema de control basado en visión y propiacepción de robots con FPGA
• Cómputo de flujo óptico en tiempo real mediante FPGAs
• Real-time visual motion detection of overtaking cars for driving assistance using FPGAs
• Real time optical flow processing system
• Adaptive spiking cerebellar models and real-time simulations
• Implementación de Redes Neuronales con FPGAs para el Reconocimiento del Habla
• Implementación en FPGAs de una Plataforma de Simulación de Neuronas de Pulsos
• FPGA implementation of a Perceptron-Like Neural Network for Embedded Applications
• Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model
• Entorno hardware-software para experimentación basado en un micro-robot