Modeling the dynamic interaction of Hebbian and homeostatic plasticity.

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The temporal paradox of Hebbian learning and homeostatic plasticity (2017, background): “Moreover, the rate at which the synaptic scaling process itself causes synaptic strengths to scale must be finely tuned to a narrow parameter regime that is neither too fast nor too slow [31 ,32 ,33,53]; if too slow, then stabilization is not possible, while if too fast, the stabilization process ov”
Hebbian and Homeostatic Plasticity Mechanisms in Regular Spiking and Intrinsic Bursting Cells of Cortical Layer 5 (2015, unknown): “This finding is in accordance with modeling studies that have shown how interactions between Hebbian plasticity (LTP and LTD) and homeostatic plasticity processes can be modeled by additive Hebbian and multiplicative homeostatic plasticity (Toyoizumi et al., 2014).”
Models of Metaplasticity: A Review of Concepts (2015, methodology): “To be more precise, the model developed by Toyoizumi et al. (2014) can be integrated within our framework modulo a slightly more generic formulation for the equation in θ .”