Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Evolutionary algorithms
Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity
The basal ganglia (BG) is a brain structure that has long been proposed to play an essential role in action selection, and theoretical …
Nicolás C. Cruz
,
Álvaro González
,
Juana L. Redondo
,
Jesús Garrido
,
Eva M. Ortigosa
,
Pilar M. Ortigosa
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On the Use of a Multimodal Optimizer for Fitting Neuron Models. Application to the Cerebellar Granule Cell
This article extends a recent methodological workflow for creating realistic and computationally efficient neuron models whilst …
Milagros Marín
,
N.C. Cruz
,
E.M. Ortigosa
,
M.J. Sáez-Lara
,
Jesús Garrido
,
Ríchard R. Carrillo
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Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell
Biologically relevant large-scale computational models currently represent one of the main methods in neuroscience for studying …
Milagros Marín
,
M.J. Sáez-Lara
,
Eduardo Ros
,
Jesús Garrido
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Generador automático de sistemas bioinspirados de visión en hardware reconfigurable
Se presenta una herramienta de síntesis automática ideada para el desarrollo de modelos bioinspirados de visión en hardware …
A. Martinez
,
F. Pelayo
,
C.A. Morillas
,
S. Romero
,
Ríchard R. Carrillo
,
B. del Pino
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