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Gaussian and Exponential Lateral Connectivity on Distributed Spiking Neural Network Simulation
2018
2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
We measured the impact of long-range exponentially decaying intra-areal lateral connectivity on the scaling and memory occupation of a distributed spiking neural network simulator compared to that of short-range Gaussian decays. While previous studies adopted short-range connectivity, recent experimental neurosciences studies are pointing out the role of longer-range intra-areal connectivity with implications on neural simulation platforms. Two-dimensional grids of cortical columns composed by
doi:10.1109/pdp2018.2018.00110
dblp:conf/pdp/PastorelliPSBCC18
fatcat:3gory6grabcodktarzoxko7ap4