Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Simulation, visualization and analysis tools for pattern recognition assessment with spiking neuronal networks
Computational modeling is becoming a widely used methodology in modern neuroscience. However, as the complexity of the phenomena under …
S.E. Galindo
,
P. Toharia
,
O.D. Robles
,
Eduardo Ros
,
L. Pastor
,
Jesús Garrido
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An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies
Background. Biologically data-driven networks have become powerful analytical tools that handle massive, heterogeneous datasets …
Milagros Marín
,
F.J. Esteban
,
H. Ramírez-Rodrigo
,
Eduardo Ros
,
M.J. Sáez-Lara
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On robot compliance. A cerebellar control approach
The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a …
Ignacio Abadia
,
Francisco Naveros
,
Jesús Garrido
,
Eduardo Ros
,
Niceto Luque
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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 Luque
,
Francisco Naveros
,
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
,
Niceto 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
,
Eduardo Ros
,
Niceto 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
,
Jesús Garrido
,
Ríchard R. Carrillo
,
Eduardo Ros
,
Niceto 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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