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Adaptive robotic control driven by a versatile spiking cerebellar network

PloS one, 2014-11, Vol.9 (11), p.e112265-e112265

2014

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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms

IEEE transactions on biomedical engineering, 2016-01, Vol.63 (1), p.210-219

2016

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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1567-1574

2015

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

Frontiers in neural circuits, 2013, Vol.7, p.159-159

2013

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Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

Cerebellum (London, England), 2016-04, Vol.15 (2), p.139-151

2016

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Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study

Frontiers in computational neuroscience, 2013-05, Vol.7, p.64-64

2013

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Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

Frontiers in neuroinformatics, 2022-10, Vol.16, p.1017222-1017222

2022

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Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Frontiers in cellular neuroscience, 2016-07, Vol.10, p.176-176

2016

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Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit

Frontiers in cellular neuroscience, 2015-05, Vol.9, p.169-169

2015

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Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

Frontiers in cellular neuroscience, 2020-07, Vol.14, p.161-161

2020

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

Frontiers in computational neuroscience, 2014-08, Vol.8, p.97-97

2014

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Bio-inspired adaptive feedback error learning architecture for motor control

Biological cybernetics, 2012-10, Vol.106 (8-9), p.507-522

2012

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On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

Frontiers in neuroinformatics, 2021-06, Vol.15, p.663797-663797

2021

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Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

Frontiers in computational neuroscience, 2015-02, Vol.9, p.24-24

2015

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Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Frontiers in computational neuroscience, 2016-03, Vol.10, p.17-17

2016

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Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in neuroinformatics, 2017-02, Vol.11, p.7-7

2017

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Adaptive and predictive control of a simulated robot arm

International journal of neural systems, 2013-06, Vol.23 (3), p.1350010

2013

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

Robotics and autonomous systems, 2014-12, Vol.62 (12), p.1702-1716

2014

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Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in neuroinformatics, 2018-05, Vol.12, p.24-24

2018

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From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm

International journal of neural systems, 2012-08, Vol.22 (4), p.1250013

2012

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Interactive simulations as a tool for logistics and maintenance of IFMIF-DONES

Fusion engineering and design, 2024-05, Vol.202, p.114315, Article 114315

2024

Volltextzugriff (PDF)

On Robot Compliance: A Cerebellar Control Approach

IEEE transactions on cybernetics, 2021-05, Vol.51 (5), p.2476-2489

2021

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Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks

Neurocomputing (Amsterdam), 2020-08, Vol.400, p.309-321

2020

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Musculoskeletal Robots: Scalability in Neural Control

IEEE robotics & automation magazine, 2016-12, Vol.23 (4), p.128-137

2016

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An efficient workflow for virtual reality simulation of maintenance tasks in IFMIF-DONES

Progress in nuclear energy (New series), 2023-06, Vol.160, p.104681, Article 104681

2023

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Adaptive robotic control driven by a versatile spiking cerebellar network

Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms

A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study

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

Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study

Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity

Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit

Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell

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

Bio-inspired adaptive feedback error learning architecture for motor control

On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell

Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Adaptive and predictive control of a simulated robot arm

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

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm

Interactive simulations as a tool for logistics and maintenance of IFMIF-DONES

On Robot Compliance: A Cerebellar Control Approach

Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks

Musculoskeletal Robots: Scalability in Neural Control

An efficient workflow for virtual reality simulation of maintenance tasks in IFMIF-DONES

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