A computational roadmap to activity-dependent myelination
Thomas Nguyen, Jeremie Lefebvre · 2026
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Description
Thomas Nguyen and one colleague lay out a roadmap for computer models of activity-dependent myelination. That is the process by which brain cells adjust the fatty coating on nerve fibers in response to how active those fibers are. Adjusting the coating changes how fast signals travel, so timing between brain areas can be tuned alongside signal strength.
The authors compare existing models by how each one links neural activity to changes in the coating, and they weigh what each model assumes, does well, and leaves out. The hard part is that the biology runs on many time scales at once, from quick electrical events to slow structural change. Their perspective argues that careful modeling can guide experiments and help place this timing-based learning beside the better-known learning that happens at synapses.
Catalog record
| CREATOR | Thomas Nguyen, Jeremie Lefebvre |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |