Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

A Cerebellar Learning Model of Vestibulo-Ocular Reflex Adaptation in Wild-Type and Mutant Mice

(2014) C. Clopath et al.   JOURNAL OF NEUROSCIENCE

Distributed synaptic plasticity controls spike-timing: predictions from a cerebellar computational model

(2013) Jesús A Garrido et al.   BMC NEUROSCIENCE

CPU-GPU hybrid platform for efficient spiking neural-network simulation

(2013) Francisco Naveros et al.   BMC NEUROSCIENCE

Number of Spikes in Climbing Fibers Determines the Direction of Cerebellar Learning

(2013) A. Rasmussen et al.   JOURNAL OF NEUROSCIENCE

Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control

(2013) Ivan Herreros et al.   NEURAL NETWORKS

Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit

(2013) Tadashi Yamazaki et al.   NEURAL NETWORKS

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

Translational Approach to Behavioral Learning: Lessons from Cerebellar Plasticity

(2013) Guy Cheron et al.   NEURAL PLASTICITY

FROM SENSORS TO SPIKES: EVOLVING RECEPTIVE FIELDS TO ENHANCE SENSORIMOTOR INFORMATION IN A ROBOT-ARM

(2012) NICETO R. LUQUE et al.   International Journal of Neural Systems

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

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

(2011) Daniel Brüderle et al.   BIOLOGICAL CYBERNETICS

Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks

(2011) N. R. Luque et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

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

Focal Pontine Lesions Provide Evidence That Intrinsic Functional Connectivity Reflects Polysynaptic Anatomical Pathways

(2011) J. Lu et al.   JOURNAL OF NEUROSCIENCE

Cerebellar theta burst stimulation impairs eyeblink classical conditioning

(2011) Britt S. Hoffland et al.   JOURNAL OF PHYSIOLOGY-LONDON

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

(2010) Solinas   Frontiers in Cellular Neuroscience

Sensory Prediction or Motor Control? Application of Marr–Albus Type Models of Cerebellar Function to Classical Conditioning

(2010) Nathan F. Lepora et al.   Frontiers in Computational Neuroscience

Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles

(2009) A. Lenz et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Encoding of Oscillations by Axonal Bursts in Inferior Olive Neurons

(2009) Alexandre Mathy et al.   NEURON

Force-field adaptation without proprioception: Can vision be used to model limb dynamics?

(2009) Fabrice R. Sarlegna et al.   NEUROPSYCHOLOGIA

Timing in the cerebellum: oscillations and resonance in the granular layer

(2009) E. D'Angelo et al.   NEUROSCIENCE

Anticipatory grip force control using a cerebellar model

(2009) J.R. de Gruijl et al.   NEUROSCIENCE

The role of the cerebellum in classical conditioning of discrete behavioral responses

(2009) R.F. Thompson et al.   NEUROSCIENCE

A real-time spiking cerebellum model for learning robot control

(2008) Richard R. Carrillo et al.   BIOSYSTEMS