Applied Computational Neuroscience UGR
Applied Computational Neuroscience UGR
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Spiking Neural Networks
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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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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Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics
Nearly all neuronal information processing and interneuronal communication in the brain involves action potentials, or spikes, which …
Eduardo Ros
,
Ríchard R. Carrillo
,
E.M. Ortigosa
,
B. Barbour
,
R. Agís
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Real-time computing platform for spiking neurons (RT-Spike)
A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is …
Eduardo Ros
,
E.M. Ortigosa
,
R. Agís
,
Ríchard R. Carrillo
,
M. Arnold
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