Latest

• The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation
• Reinforcement learning in a spiking neural model of striatum plasticity
• Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation
• Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation
• INTSENSO - Integración sensorimotora para control adaptativo mediante aprendizaje en cerebelo y centros nerviosos relacionados. Aplicación en robótica
• CEREBIO - Cerebelo y Oliva Inferior en tareas de adaptación sensori-motora.
• Computational epidemiology study of homeostatic compensation during sensorimotor aging
• A cerebellar-based solution to the nondeterministic time delay problem in robotic control
• HBP - Human Brain Project
• A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease
• Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell
• Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
• An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies
• On robot compliance. A cerebellar control approach
• Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation
• VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
• A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
• Exploring Vestibulo-Ocular Adaptation in a Closed-Loop Neuro-Robotic Experiment Using STDP. A Simulation Study
• Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks
• Musculoskeletal Robots. Scalability in Neural Control
• Distributed Circuit Plasticity. New Clues for the Cerebellar Mechanisms of Learning
• Modeling the Cerebellar Microcircuit. New Strategies for a Long-Standing Issue
• Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
• CEREBROT - Adaptive Cerebellum for Sensori-Motor Integration and its Application in Robotics
• Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms
• Prediction of Manipulation Actions
• A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
• REALNET - Realistic Real-Time Networks. Computation Dynamics in the Cerebellum
• 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
• On-chip semidense representation map for dense visual features driven by attention processes
• Real-time visual saliency architecture for FPGA with top-down attention modulation
• Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
• A closed-loop neurobotic system for fine touch sensing
• Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs
• Adaptive and predictive control of a simulated robot arm
• Bio-inspired adaptive feedback error learning architecture for motor control
• From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm
• A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation
• An integrated motor control loop of a human-like robotic arm: feedforward, feedback and cerebellum-based learning
• Bottom-up visual attention model based on FPGA
• Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation
• Parallel architecture for hierarchical optical flow estimation based on FPGA
• Real-time architecture for a robust multi-scale stereo engine on FPGA
• Vector disparity sensor with vergence control for active vision systems
• 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
• Timing in the cerebellum: oscillations and resonance in the granular layer
• 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
• 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
• Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study