Speaker
Description
The mathematical modeling of extended brain microcircuits is becoming an effective tool to simulate the neurophysiological correlates of brain activity while opening new perspectives in understanding the mechanisms underlying brain dysfunctions. The generation of realistic networks is however experiencing limitations due to the strategy adopted to build network connectivity and also to the computational cost associated with biophysically detailed neuronal models.
We have recently developed a method to generate neuronal network scaffolds associating geometrical probability volumes with pre- and postsynaptic neurites. In this talk, I will show that the proposed approach allows to generate neuronal networks with realistic connectivity properties without the explicit use of 3D morphological reconstructions to be adopted for highly efficient simulation through point-like neuron models. The method has been benchmarked both on the mouse and human hippocampus CA1 region and its efficiency at different spatial scales has been explored. The abstract geometric reconstruction of axonal and dendritic occupancy, by effectively reflecting morphological and anatomical constraints, could be integrated into structured simulators generating entire circuits of different brain areas.
References
Gandolfi D, Mapelli J, Solinas S.M.G. et al. A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits. Sci Rep. 2022 Aug 16;12(1):13864. doi: 10.1038/s41598-022-18024-y. Erratum in: Sci Rep. 2022 Nov 17;12(1):19792. PMID: 35974119; PMCID: PMC9381785.
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.
| Preferred form of presentation | Talk (& optional poster) |
|---|---|
| Topic area | Models and applications |
| Keywords | hippocampus, network connectivity, synaptic plasticity |
| Speaker time zone | UTC+1 |
| I agree to the copyright and license terms | Yes |
| I agree to the declaration of honor | Yes |
