Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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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 …
Niceto R. Luque
,
Francisco Naveros Arrabal
,
Ríchard R. Carrillo
,
Eduardo Ros
,
A. Arleo
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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) …
Francisco Naveros Arrabal
,
Niceto R. Luque
,
Eduardo Ros
,
A. Arleo
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A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with particular attention being …
Ríchard R. Carrillo
,
Francisco Naveros Arrabal
,
Eduardo Ros
,
Niceto R. Luque
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Prediction of Manipulation Actions
By looking at a person’s hands, one can often tell what the person is going to do next, how his/her hands are moving and where they …
C. Fermüller
,
F. Wang
,
Y. Yang
,
K. Zampogiannis
,
Y. Zhang
,
Francisco Barranco
,
M. Pfeiffer
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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 …
Francisco Naveros Arrabal
,
Jesús Garrido
,
Ríchard R. Carrillo
,
Eduardo Ros
,
Niceto R. Luque
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Musculoskeletal Robots. Scalability in Neural Control
Anthropomimetic robots sense, behave, interact, and feel like humans. By this definition, they require human-like physical hardware and …
C. Richter
,
S. Jentzsch
,
R. Hostettler
,
Jesús Garrido
,
Eduardo Ros
,
A. Knoll
,
F. Röhrbein
,
P. Van Der Smagt
,
J. Conradt
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A Dataset for Visual Navigation with Neuromorphic Methods
Standardized benchmarks in Computer Vision have greatly contributed to the advance of approaches to many problems in the field. If we …
Francisco Barranco
,
C. Fermüller
,
Y. Aloimonos
,
T. Delbruck
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Distributed Circuit Plasticity. New Clues for the Cerebellar Mechanisms of Learning
The cerebellum is involved in learning and memory of sensory motor skills. However, the way this process takes place in local …
E. D'Angelo
,
L. Mapelli
,
C. Casellato
,
Jesús Garrido
,
Niceto R. Luque
,
J. Monaco
,
F. Prestori
,
A. Pedrocchi
,
Eduardo Ros
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Modeling the Cerebellar Microcircuit. New Strategies for a Long-Standing Issue
The cerebellar microcircuit has been the work bench for theoretical and computational modeling since the beginning of neuroscientific …
E. D'Angelo
,
A. Antonietti
,
S. Casali
,
C. Casellato
,
Jesús Garrido
,
Niceto R. Luque
,
L. Mapelli
,
S. Masoli
,
A. Pedrocchi
,
F. Prestori
,
M.F. Rizza
,
Eduardo Ros
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Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks
The majority of operations carried out by the brain require learning complex signal patterns for future recognition, retrieval and …
Jesús Garrido
,
Niceto R. Luque
,
S. Tolu
,
E. D'Angelo
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