A unified, biophysically motivated Calcium-Dependent Learning model has been shown to account for various rate-based and spike time-dependent paradigms for inducing synaptic plasticity. Here, we investigate the properties of this model for a multi-synapse neuron that receives inputs with different spike-train statistics. In addition, we present a physiological form of metaplasticity, an activity-driven regulation mechanism, that is essential for the robustness of the model. A neuron thus implemented develops stable and selective receptive fields, given various input statistics
Recommended CitationYeung, Luk C.; Blais, Brian S.; Cooper, Leon N.; and Shouval, Harel Z., "Selectivity and Metaplasticity in a Unified Calcium-Dependent Model" (2003). Science and Technology Faculty Journal Articles. Paper 12.