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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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Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation
Collaborative robots, or cobots, are designed to work alongside humans and to alleviate their physical burdens, such as lifting heavy …
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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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