Parallelizing large networks in NEURON (Lytton et al. 2016)

"Large multiscale neuronal network simulations and innovative neurotechnologies are required for development of these models requires development of new simulation technologies. We describe here the current use of the NEURON simulator with MPI (message passing interface) for simulation in the domain of moderately large networks on commonly available High Performance Computers (HPCs). We discuss the basic layout of such simulations, including the methods of simulation setup, the run-time spike passing paradigm and post-simulation data storage and data management approaches. We also compare three types of networks, ..."

Model Type: Realistic Network

Cell Type(s): Hodgkin-Huxley neuron; Abstract Izhikevich neuron

Model Concept(s): Simplified Models; Methods; Multiscale

Simulation Environment: NEURON; NetPyNE

Implementer(s): Dura-Bernal, Salvador [salvadordura at]; Lytton, William [bill.lytton at]; Seidenstein, Alexandra [ahs342 at]


Lytton WW et al. (2016). Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural computation. 28 [PubMed]

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