Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network
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Title
Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network
Authors
Keywords
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Journal
PLoS One
Volume 9, Issue 11, Pages e112265
Publisher
Public Library of Science (PLoS)
Online
2014-11-13
DOI
10.1371/journal.pone.0112265
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Note: Only part of the references are listed.- 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
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