nips nips2002 nips2002-180 nips2002-180-reference knowledge-graph by maker-knowledge-mining
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Author: Luk Chong Yeung, Brian S. Blais, Leon N. Cooper, Harel Z. Shouval
Abstract: 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 1
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