Latest

• Reinforcement learning in a spiking neural model of striatum plasticity
• Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
• On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
• 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
• On robot compliance. A cerebellar control approach
• 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
• Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
• Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
• Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms
• Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks
• A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
• Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
• Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning
• CEREBSENSING - Cerebellar Distributed Plasticity Towards Active Sensing and Motor Control
• 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
• Distributed cerebellar plasticity implements multiple-scale memory components of Vestibulo-Ocular Reflex in real-robots
• 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
• Realistic modeling of neurons and networks: towards brain simulation
• 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
• Active tactile sensing in a neurorobotic Braille-reading system
• An integrated motor control loop of a human-like robotic arm: feedforward, feedback and cerebellum-based learning
• A closed-loop neurorobotic system for investigating braille-reading finger kinematics
• 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
• Simulation of biological neuronal structures. Design and functional study of the cerebellum
• Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study