Speaker
Description
We developed a biologically grounded model of the human hippocampus CA1 region. The model includes all the pyramidal cells and interneurons with a realistic number of cells (about 5 millions) and their connections (31 billions). The connectivity matrix was generated using previously published methods [1] and stored in the SONATA data format. The model is set to run in the NEST simulator using a previously published adaptive leak integrate and fire neuron model [2] able to faithfully reproduce the spike trains observed in vitro and in vivo. Here, we present the NEST implementation choices that we had to take to run our model on the supercomputer Galileo100 at CINECA facility in Italy.
Acknowledgements
This work was funded by the European Union–NextGenerationEU (Project IR0000011, CUP B51E22000150006, “EBRAINS-Italy.”(European Brain ReseArch INfrastructureS-Italy).
References
1 Gandolfi, D., Mapelli, J., Solinas, S.M.G. et al. Full-scale scaffold model of the human hippocampus CA1 area. Nat Comput Sci 3, 264–276 (2023).
https://doi.org/10.1038/s43588-023-00417-2
2 Marasco, A., Spera, E., De Falco, V. et al. An Adaptive Generalized Leaky Integrate-and-Fire Model for Hippocampal CA1 Pyramidal Neurons and Interneurons. Bull Math Biol 85, 109 (2023). https://doi.org/10.1007/s11538-023-01206-8
| Preferred form of presentation | Workshop |
|---|---|
| Topic area | Models and applications |
| Keywords | hippocampus, pyramidal cells, adaptive, network model |
| Speaker time zone | UTC+2 |
| I agree to the copyright and license terms | Yes |
| I agree to the declaration of honor | Yes |
