A Brain-Inspired Learning Algorithm Enables Metaplasticity in Artificial and Spiking Neural Networks

Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Short-term plasticity, Hebbian learning, and spike-timing-dependent plasticity (STDP) have been the primary focuses of previous attempts to bring biologically relevant plasticity principles into spiking and nonspiking ANNs. STDP goes beyond Hebbian learning by […]

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