Article-Journal

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 …
PDF Cite Project Project Project Journal
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 …
PDF Project Project Project Project Journal
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 …
PDF Cite Project Project Project Project Journal
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, …
Cite Project Project Project Project Journal
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 …
PDF Cite Project Project Project Journal
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 …
PDF Cite Code Project Project Project Journal
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 …
PDF Cite Project Project Project Journal
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 …
PDF Cite Project Project Project Journal
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 …
Cite Project Project Journal
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 …
PDF Cite Project Project Journal