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

(2015) Francisco Naveros et al.   IEEE Transactions on Neural Networks and Learning Systems

Role of Plasticity at Different Sites across the Time Course of Cerebellar Motor Learning

(2014) Y. Yang et al.   JOURNAL OF NEUROSCIENCE

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

(2014) Niceto R. Luque et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Excitatory and inhibitory STDP jointly tune feedforward neural circuits to selectively propagate correlated spiking activity

(2014) Florence I. Kleberg et al.   Frontiers in Computational Neuroscience

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

(2014) Niceto R. Luque et al.   Frontiers in Computational Neuroscience

Error detection and representation in the olivo-cerebellar system

(2013) Masao Ito   Frontiers in Neural Circuits

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation

(2013) Jesús A. Garrido et al.   Frontiers in Neural Circuits

Coupling internal cerebellar models enhances online adaptation and supports offline consolidation in sensorimotor tasks

(2013) Jean-Baptiste Passot et al.   Frontiers in Computational Neuroscience

Spike Timing Regulation on the Millisecond Scale by Distributed Synaptic Plasticity at the Cerebellum Input Stage: A Simulation Study

(2013) Jesús A. Garrido et al.   Frontiers in Computational Neuroscience

Motor Learning Relies on Integrated Sensory Inputs in ADHD, but Over-Selectively on Proprioception in Autism Spectrum Conditions

(2012) Jun Izawa et al.   Autism Research

Erratum: Distributed synergistic plasticity and cerebellar learning

(2012) Zhenyu Gao et al.   NATURE REVIEWS NEUROSCIENCE

A Computational Mechanism for Unified Gain and Timing Control in the Cerebellum

(2012) Tadashi Yamazaki et al.   PLoS One

Olivary subthreshold oscillations and burst activity revisited

(2012) Paolo Bazzigaluppi et al.   Frontiers in Neural Circuits

Climbing Fiber Burst Size and Olivary Sub-threshold Oscillations in a Network Setting

(2012) Jornt R. De Gruijl et al.   PLoS Computational Biology

Synaptic mechanisms of sensorimotor learning in the cerebellum

(2011) Megan R Carey   CURRENT OPINION IN NEUROBIOLOGY

Cerebellarlike Corrective Model Inference Engine for Manipulation Tasks

(2011) N. R. Luque et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

ADAPTIVE CEREBELLAR SPIKING MODEL EMBEDDED IN THE CONTROL LOOP: CONTEXT SWITCHING AND ROBUSTNESS AGAINST NOISE

(2011) N. R. LUQUE et al.   International Journal of Neural Systems

Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks

(2011) T. P. Vogels et al.   SCIENCE

Stimulus-Dependent State Transition between Synchronized Oscillation and Randomly Repetitive Burst in a Model Cerebellar Granular Layer

(2011) Takeru Honda et al.   PLoS Computational Biology

A realistic large-scale model of the cerebellum granular layer predicts circuit spatio-temporal filtering properties

(2010) Solinas   Frontiers in Cellular Neuroscience

Using input minimization to train a cerebellar model to simulate regulation of smooth pursuit

(2009) Fredrick H. Rothganger et al.   BIOLOGICAL CYBERNETICS

Synaptic Inhibition, Excitation, and Plasticity in Neurons of the Cerebellar Nuclei

(2009) Nan Zheng et al.   CEREBELLUM

Computational Models of Timing Mechanisms in the Cerebellar Granular Layer

(2009) Tadashi Yamazaki et al.   CEREBELLUM

Competitive STDP-Based Spike Pattern Learning

(2009) Timothée Masquelier et al.   NEURAL COMPUTATION

A real-time spiking cerebellum model for learning robot control

(2008) Richard R. Carrillo et al.   BIOSYSTEMS