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- W4254472949 abstract "Biophysically detailed modeling provides an unmatched method to integrate data from many disparate experimental studies, and manipulate and explore with high precision the resulting brain circuit simulation. We developed a detailed model of the brain motor cortex circuits, simulating over 10,000 biophysically detailed neurons and 30 million synaptic connections. Optimization and evaluation of the cortical model parameters and responses was achieved via parameter exploration using grid search parameter sweeps and evolutionary algorithms. This involves running tens of thousands of simulations, with each simulated second of the full circuit model requiring approximately 50 cores hours. This paper describes our experience in setting up and using Google Compute Platform (GCP) with Slurm to run these large-scale simulations. We describe the best practices and solutions to the issues that arose during the process, and present preliminary results from running simulations on GCP." @default.
- W4254472949 created "2022-05-12" @default.
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- W4254472949 date "2020-04-15" @default.
- W4254472949 modified "2023-10-18" @default.
- W4254472949 title "Simulating large-scale models of brain neuronal circuits using Google Cloud Platform" @default.
- W4254472949 doi "https://doi.org/10.31219/osf.io/m8vza" @default.
- W4254472949 hasPublicationYear "2020" @default.
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