Population-level neural rejuvenation dynamics in addiction: a computational framework for understanding developmental plasticity reactivation
This computational framework demonstrates how neural rejuvenation might operate as a population-level phenomenon, with sequential recruitment of different plasticity mechanisms creating robust addiction-related memories. The model generates testable hypotheses and provides a foundation for understanding potential therapeutic intervention windows targeting different phases of rejuvenation.
Authors
- Mehdi Borjkhani (ORCID: https://orcid.org/0000-0003-0469-0902)
- Morteza A. Sharif (ORCID: https://orcid.org/0000-0003-1469-6910)
- Hadi Borjkhani
Institutions
- HTW Berlin - University of Applied Sciences (DE)
- Optics Technology (United States) (US)
- Polish Academy of Sciences (PL)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2026-02-23
- DOI
- https://doi.org/10.3389/fncom.2026.1753417
- Primary Topic
- Neurotransmitter Receptor Influence on Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00