Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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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 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 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 Luque
,
S. Tolu
,
E. D'Angelo
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Journal
Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje cells (within the cerebellar cortex) …
Niceto Luque
,
Jesús Garrido
,
Francisco Naveros
,
Ríchard R. Carrillo
,
E. D'Angelo
,
Eduardo Ros
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Journal
Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms
Goal: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in …
Alberto Antonietti
,
Claudia Casellato
,
Jesús Garrido
,
Niceto Luque
,
Francisco Naveros
,
Eduardo Ros
,
Egidio D'Angelo
,
Alessandra Pedrocchi
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Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks
The cerebellum plays a crucial role in motor learning and it acts as a predictive controller. Modeling it and embedding it into …
C. Casellato
,
A. Antonietti
,
Jesús Garrido
,
G. Ferrigno
,
E. D'Angelo
,
A. Pedrocchi
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Prediction of Manipulation Actions
This work presents an FPGA implementation of a highly parallel architecture for the motion and disparity estimations of color images. …
Francisco Barranco
,
M. Tomasi
,
M. Vanegas
,
J. Díaz
,
S. Granados
,
Eduardo Ros
Journal
A spiking neural simulator integrating event-driven and time-driven computation schemes using parallel CPU-GPU co-processing: a case study
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural …
Francisco Naveros
,
Niceto Luque
,
Jesús Garrido
,
Ríchard R. Carrillo
,
M. Anguita
,
Eduardo Ros
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Journal
Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit
The way long-term potentiation (LTP) and depression (LTD) are integrated within the different synapses of brain neuronal circuits is …
L. Mapelli
,
M. Pagani
,
Jesús Garrido
,
E. D'Angelo
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Integrated neural and robotic simulations. Simulation of cerebellar neurobiological substrate for an object-oriented dynamic model abstraction process
Experimental studies of the Central Nervous System (CNS) at multiple organization levels aim at understanding how information is …
Niceto Luque
,
Ríchard R. Carrillo
,
Francisco Naveros
,
Jesús Garrido
,
M.J. Sáez-Lara
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