N
Niceto R. Luque
Researcher at University of Granada
Publications - 40
Citations - 958
Niceto R. Luque is an academic researcher from University of Granada. The author has contributed to research in topics: Spiking neural network & Artificial neural network. The author has an hindex of 17, co-authored 37 publications receiving 786 citations. Previous affiliations of Niceto R. Luque include Pierre-and-Marie-Curie University & Vision Institute.
Papers
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Journal ArticleDOI
Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning
Egidio D'Angelo,Lisa Mapelli,Claudia Casellato,Jesus A. Garrido,Jesus A. Garrido,Niceto R. Luque,Jessica Monaco,Francesca Prestori,Alessandra Pedrocchi,Eduardo Ros +9 more
TL;DR: When the circuit embeds multiple forms of plasticity, it can easily cope with multiple behaviors endowing therefore the cerebellum with the properties needed to operate as an effective generalized forward controller.
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Adaptive cerebellar spiking model embedded in the control loop: context switching and robustness against noise.
TL;DR: The implemented cerebellar model managed to adapt in the three control architectures to different dynamics and kinematics providing corrective actions for more accurate movements, and coupling both control architectures (forward&recurrent) provides benefits of the two of them and leads to a higher robustness against noise.
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Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation
TL;DR: The system including distributed plasticity reliably self-adapted to manipulate different masses and to learn the arm-object dynamics over a time course that included fast learning and consolidation, along the lines of what has been observed in behavioral tests.
Journal ArticleDOI
Adaptive robotic control driven by a versatile spiking cerebellar network.
Claudia Casellato,Alberto Antonietti,Jesus A. Garrido,Richard R. Carrillo,Niceto R. Luque,Eduardo Ros,Alessandra Pedrocchi,Egidio D'Angelo +7 more
TL;DR: A realistic cerebellar spiking neural network (SNN) with a real robot and challenged it in multiple diverse sensorimotor tasks succeeded in reproducing how human biological systems acquire, extinguish and express knowledge of a noisy and changing world.
Journal ArticleDOI
Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.
Egidio D'Angelo,Alberto Antonietti,Stefano Casali,Claudia Casellato,Jesus A. Garrido,Niceto R. Luque,Lisa Mapelli,Stefano Masoli,Alessandra Pedrocchi,Francesca Prestori,Martina Francesca Rizza,Eduardo Ros +11 more
TL;DR: It is envisaged that realistic modeling, combined with closed-loop simulations, will help to capture the essence of cerebellar computations and could eventually be applied to neurological diseases and neurorobotic control systems.