Computational principles of synaptic memory consolidation
Read:: - [ ] Benna et al. (2016) - Computational principles of synaptic memory consolidation ➕2024-05-24 !!2 rd citation todoist Print:: ❌ Zotero Link:: Zotero Files:: attachment Reading Note:: Web Rip:: url:: https://www.nature.com/articles/nn.4401
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The biological mechanisms underlying memory are complex and typically involve multiple molecular processes operating on timescales ranging from fractions of a second to years. The authors show using a mathematical model of synaptic plasticity and consolidation that this complexity can help explain the formidable memory capacity of biological systems.
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- Interesting model that I am having difficulty following,
- Looks like they are able to dynamically separate meaningful time-scales
- The time scale of plasticity is decided by this factor
- The time separation factor emerges as a power law scaling
- So they seem to broadly describe this feature but do not illustrate (afaik) an implementation
- It might be nice to analyze this further in the future