bioRxivJClub
Computational model of developmental self-assembly of a cortical microcircuit
bioRxiv · · Preprint · Open access
Abubacar, Harris + 2 more
Abstract ↗AI summary
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Calibrated BioDynaMo simulations self-assemble ~70,000 cortical neurons from 1,200 progenitors, reproducing experimentally measured connectivity across 64 connection types with mean absolute error 0.0062.
- Why it matters: Large-scale models often prescribe wiring instead of explaining how cortical connectivity forms from local developmental interactions.
- What they did: BioDynaMo models migration, neurite growth, and contact-based synapse formation in 3D physical space, using one calibrated filling fraction per connection type.
- The result: The resulting spiking networks show stable, inhibition-dominated activity, generate both a canonical and visual-cortex microcircuit under different targets, and a reeler-like column when migration is inverted.
The findingWhy it mattersWhat they didThe result
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