Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Infants' spontaneous movements explore arm dynamics
We show that infant spontaneous arm movements engage the arm’s dynamics more extensively than goal-directed reaching motions, suggesting a structured, emergent strategy for sensorimotor development.
Juan Helios García Guzmán
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Eduardo Ros
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Niceto Luque
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A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding
The cerebellar granular layer plays a central role in sensory processing and pattern separation through its distinctive feedforward …
María P. Tirado
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E.M. Ortigosa
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Eduardo Ros
,
Jesús Garrido
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A deep learning strategy to identify cell types across species from high-density extracellular recordings.
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to …
M. Beau
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D. J. Herzfeld
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Francisco Naveros
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M. E. Hemelt
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F. D’Agostino
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M. Oostland
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A. Sánchez-López
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Y. Y. Chung
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M. Maibach
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S. Kyranakis
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H. N. Stabb
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M. G. Martínez Lopera
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A. Lajko
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M. Zedler
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S. Ohmae
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N.J. Hall
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B. A. Clark
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D. Cohen
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S. Lisberger
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D. Kostadinov
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C. Hull
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M. Häusser
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J. F. Medina
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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 …
Ignacio Abadia
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A. Bruel
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G. Courtine
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A. Ijspeert
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Eduardo Ros
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Niceto Luque
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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 …
A. Bruel
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Ignacio Abadia
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T. Collin
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I. Sakr
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H. Lorach
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Niceto Luque
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Eduardo Ros
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A. Ijspeert
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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 …
Álvaro González
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Jesús Garrido
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Francisco Naveros
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J.H. Kotaleski
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S. Grillner
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Eduardo Ros
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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 …
B. Valencia-Vidal
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Eduardo Ros
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Ignacio Abadia
,
Niceto Luque
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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 …
Nicolás C. Cruz
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Álvaro González
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Juana L. Redondo
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Jesús Garrido
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Eva M. Ortigosa
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Pilar M. Ortigosa
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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 …
Niceto Luque
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Francisco Naveros
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Ignacio Abadia
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Eduardo Ros
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A. Arleo
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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 …
Niceto Luque
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Francisco Naveros
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D. Sheynikhovich
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Eduardo Ros
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A. Arleo
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