POSTER PRESENTATION Open Access CPU-GPU hybrid platform for efficient spiking neural-network simulation

Nowadays, research in computational neuroscience is progressively demanding both detailed biologically-plau-sible neuron models and, at the same time, the simula-tion of large-scale neural networks in order to better understand the operation of specific nervous circuits of the central nervous system. To that aim, several neural simulators have been developed during last decades; these simulators have been conceived to either simulate detailed neuron models within small-scale neural net-works (NEURON [1] and GENESIS [2]), or to simulate neuron models with low degree of biophysical detail within large-scale neural networks (Brian [3] and NEST [4]). In view of this situation, it would be desirable to go a step further in simulating neural networks and com-bine fast-and-simple neural models with detailed biolo