2023
DOI: 10.3389/fninf.2023.941696
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Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

Abstract: Spiking neural networks (SNNs) represent the state-of-the-art approach to the biologically realistic modeling of nervous system function. The systematic calibration for multiple free model parameters is necessary to achieve robust network function and demands high computing power and large memory resources. Special requirements arise from closed-loop model simulation in virtual environments and from real-time simulation in robotic application. Here, we compare two complementary approaches to efficient large-sc… Show more

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“…This optimized method makes the contribution of the network construction phase in network simulations marginal, even when simulating highly-connected large-scale networks. As discussed in [39], this is especially interesting for parameter scan applications, where a high volume of simulations needs to be tested, and any additional contribution to the overall execution time of each test aggregates considerably and slows down the exploration process. Future work can investigate the extension of this algorithm for multi-GPU simulations, incorporate further connection rules, and optimize the simulation kernel to enable the fast network construction and simulation of large networks approaching the size of the human brain.…”
Section: Discussionmentioning
confidence: 99%
“…This optimized method makes the contribution of the network construction phase in network simulations marginal, even when simulating highly-connected large-scale networks. As discussed in [39], this is especially interesting for parameter scan applications, where a high volume of simulations needs to be tested, and any additional contribution to the overall execution time of each test aggregates considerably and slows down the exploration process. Future work can investigate the extension of this algorithm for multi-GPU simulations, incorporate further connection rules, and optimize the simulation kernel to enable the fast network construction and simulation of large networks approaching the size of the human brain.…”
Section: Discussionmentioning
confidence: 99%