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- W4386281625 endingPage "102778" @default.
- W4386281625 startingPage "102778" @default.
- W4386281625 abstract "Learning and memory rely on synapses changing their strengths in response to neural activity. However, there is a substantial gap between the timescales of neural electrical dynamics (1–100 ms) and organism behaviour during learning (seconds—minutes). What mechanisms bridge this timescale gap? What are the implications for theories of brain learning? Here I first cover experimental evidence for slow-timescale factors in plasticity induction. Then I review possible underlying cellular and synaptic mechanisms, and insights from recent computational models that incorporate such slow-timescale variables. I conclude that future progress in understanding brain learning across timescales will require both experimental and computational modelling studies that map out the nonlinearities implemented by both fast and slow plasticity mechanisms at synapses, and crucially, their joint interactions." @default.
- W4386281625 created "2023-08-31" @default.
- W4386281625 creator A5046112755 @default.
- W4386281625 date "2023-10-01" @default.
- W4386281625 modified "2023-09-27" @default.
- W4386281625 title "Nonlinear slow-timescale mechanisms in synaptic plasticity" @default.
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- W4386281625 doi "https://doi.org/10.1016/j.conb.2023.102778" @default.
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