Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

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 re...

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Bibliographic Details
Main Authors: Felix Johannes Schmitt, Vahid Rostami, Martin Paul Nawrot
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neuroinformatics
Subjects:
computational neuroscience
attractor neural network
metastability
real-time simulation
computational neuroethology
spiking neural network (SNN)
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2023.941696/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2023.941696/full

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