Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Realistic modeling of neurons and networks: towards brain simulation
Realistic modeling is a new advanced methodology for investigating brain functions. Realistic modeling is based on a detailed …
E. D'Angelo
,
S. Solinas
,
Jesús Garrido
,
C. Casellato
,
A. Pedrocchi
,
J. Mapelli
,
D. Gandolfi
,
F. Prestori
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Journal
Adaptive and predictive control of a simulated robot arm
In this work, a basic cerebellar neural layer and a machine learning engine are embedded in a recurrent loop which avoids dealing with …
S. Tolu
,
M. Vanegas
,
Jesús Garrido
,
Niceto Luque
,
Eduardo Ros
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Journal
Spike timing regulation on the millisecond scale by distributed synaptic plasticity at the cerebellum input stage: a simulation study
The way long-term synaptic plasticity regulates neuronal spike patterns is not completely understood. This issue is especially relevant …
Jesús Garrido
,
Eduardo Ros
,
E. D'Angelo
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Journal
Bio-inspired adaptive feedback error learning architecture for motor control
This study proposes an adaptive control architecture based on an accurate regression method called Locally Weighted Projection …
S. Tolu
,
M. Vanegas
,
Niceto Luque
,
Jesús Garrido
,
Eduardo Ros
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Journal
Dynamics Model Abstraction Scheme Using Radial Basis Functions
This paper presents a control model for object manipulation. Properties of objects and environmental conditions influence the motor …
S. Tolu
,
M. Vanegas
,
R. Agís
,
Ríchard R. Carrillo
,
A. Cañas
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Journal
From sensors to spikes: evolving receptive fields to enhance sensorimotor information in a robot-arm
In biological systems, instead of actual encoders at different joints, proprioception signals are acquired through distributed …
Niceto Luque
,
Jesús Garrido
,
J. Ralli
,
J.L. Jiménez
,
Eduardo Ros
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Journal
A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation
This paper presents a novel hardware-friendly motion estimation for real-time applications such as robotics or autonomous navigation. …
Francisco Barranco
,
J. Díaz
,
B. Pino
,
Eduardo Ros
Journal
Massive parallel-hardware architecture for multiscale stereo, optical flow and image-structure computation
Low-level vision tasks pose an outstanding challenge in terms of computational effort: pixel-wise operations require high-performance …
M. Tomasi
,
M. Vanegas
,
Francisco Barranco
,
J. Díaz
,
Eduardo Ros
Journal
Parallel architecture for hierarchical optical flow estimation based on FPGA
The proposed work presents a highly parallel architecture for motion estimation. Our system implements the well-known Lucas and Kanade …
Francisco Barranco
,
M. Tomasi
,
J. Díaz
,
M. Vanegas
,
Eduardo Ros
Journal
Real-time architecture for a robust multi-scale stereo engine on FPGA
In this work, we present a real-time implementation of a stereo algorithm on field-programmable gate array (FPGA). The approach is a …
M. Tomasi
,
M. Vanegas
,
Francisco Barranco
,
J. Díaz
,
Eduardo Ros
Journal
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