HBP - Human Brain Project

Eduardo Ros, Jesús Garrido, Niceto R. Luque
Wed, 17 Feb 2021
Cerebellum Neurorobotics Simulation
Eduardo Ros
Eduardo Ros
Full Professor

Full professor in computer architecture, principal investigator at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada.

Jesús Garrido
Jesús Garrido
Associate Professor

Associate professor in Computation technology, senior researcher at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada.

Niceto R. Luque
Niceto R. Luque
Associate Professor

Associate Professor at the Department of Computer Engineering, Automation and Robotics and Principal Investigator at the Applied Computational Neuroscience Group.

Publications

A neuromechanics solution for adjustable robot compliance and accuracy
Robots have to adjust their motor behavior to changing environments and variable task requirements to successfully operate in the real …
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A neuromechanics solution for adjustable robot compliance and accuracy
The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation
Complex interactions between brain regions and the spinal cord (SC) govern body motion, which is ultimately driven by muscle …
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Reinforcement learning in a spiking neural model of striatum plasticity
The basal ganglia (BG), and more specifically the striatum, have long been proposed to play an essential role in action-selection based …
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Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
The basal ganglia (BG) is a brain structure that has long been proposed to play an essential role in action selection, and theoretical …
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Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory–motor adaptation
The inferior olivary (IO) nucleus makes up the signal gateway for several organs to the cerebellar cortex. Located within the …
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Computational epidemiology study of homeostatic compensation during sensorimotor aging
The vestibulo-ocular reflex (VOR) stabilizes vision during head motion. Age-related changes of vestibular neuroanatomical properties …
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A cerebellar-based solution to the nondeterministic time delay problem in robotic control
The presence of computation and transmission-variable time delays within a robotic control loop is a major cause of instability, …
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On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
This article extends a recent methodological workflow for creating realistic and computationally efficient neuron models whilst …
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A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington’s Disease
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that …
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Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell
Biologically relevant large-scale computational models currently represent one of the main methods in neuroscience for studying …
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Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Computational modeling is becoming a widely used methodology in modern neuroscience. However, as the complexity of the phenomena under …
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An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies
Background. Biologically data-driven networks have become powerful analytical tools that handle massive, heterogeneous datasets …
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On robot compliance. A cerebellar control approach
The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a …
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Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation
Cerebellar Purkinje cells mediate accurate eye movement coordination. However, it remains unclear how oculomotor adaptation depends on …
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VOR Adaptation on a Humanoid iCub Robot Using a Spiking Cerebellar Model
We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate a real robotic body (iCub) …
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Event-and time-driven techniques using parallel CPU-GPU co-processing for spiking neural networks
Modeling and simulating the neural structures which make up our central neural system is instrumental for deciphering the computational …
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