Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Context separability mediated by the granular layer in a spiking cerebellum model for robot control
In this paper, we study how a biologically-plausible cerebellum architecture can store and retrieve different robotic-arm internal …
Niceto Luque
,
Jesús Garrido
,
Ríchard R. Carrillo
,
O.J.M.D. Coenen
,
Eduardo Ros
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Event and time driven hybrid simulation of spiking neural networks
Emerging research areas in neuroscience are requiring simulation of large and detailed spiking neural networks. Although eventdriven …
Jesús Garrido
,
Niceto Luque
,
Ríchard R. Carrillo
,
Eduardo Ros
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Cerebellar spiking engine: Towards objet model abstraction in manipulation
This paper presents how a simple cerebellumlike architecture can infer corrective models in the framework of a control task when …
Niceto Luque
,
Jesús Garrido
,
Ríchard R. Carrillo
,
Eduardo Ros
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Journal
Image Processing Architecture for Local Features Computation
Quadrature filters are widely used in the Computer Vision community because of their biological support and also because they allow an …
J. Díaz
,
Eduardo Ros
,
S. Mota
,
Ríchard R. Carrillo
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Dealing with the Perspective Distortion to Detect Overtaking Cars for Driving Assistance, Pattern Recognition and Image Analysis
The driver’s loss of attention is an important problem in which are spent considerable research efforts in different areas such …
S. Mota
,
Eduardo Ros
,
J. Díaz
,
R. Agís
,
R. Rodríguez-Gómez
,
Ríchard R. Carrillo
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A Space Variant Mapping Architecture for Reliable Car Segmentation
Side-impact crashes have now become more important than head-on crashes, probably reflecting improvements in protecting occupants. …
S. Mota
,
Eduardo Ros
,
J. Díaz
,
R. Rodríguez-Gómez
,
Ríchard R. Carrillo
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Journal
Event-driven simulation engine for spiking neural networks on a chip
The efficient simulation of spiking neural networks (SNN) remains as an open challenge. Current SNN computing engines are still far …
R. Agís
,
J. Díaz
,
Eduardo Ros
,
Ríchard R. Carrillo
,
E.M. Ortigosa
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Sistema evolutivo de control de un brazo robot. Optimización de constantes dinámicas
El estudio de esquemas de control que permitan a un sistema mantenerse estable frente a perturbaciones externas ha dado como resultado …
R. Agís
,
Eduardo Ros
,
F.J. Pelayo
,
Ríchard R. Carrillo
,
E.M. Ortigosa
,
R. Rodríguez
,
J. Días
,
S. Mota
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Lookup Table Powered Neural Event-Driven Simulator
A novel method for efficiently simulating large scale realistic neural networks is described. Most information transmission in these …
Ríchard R. Carrillo
,
Eduardo Ros
,
E.M. Ortigosa
,
B. Barbour
,
R. Agís
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Journal
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and …
C. Boucheny
,
Ríchard R. Carrillo
,
Eduardo Ros
,
O.J.M. Coenen
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