Nicoletta Risi

Learning in spiking neural networks with a calcium-based Hebbian rule for spike timing-dependent plasticity

This work presents a Hebbian local learning rule that models synaptic modification as a function of calcium traces tracking neuronal activity and demonstrates how spike timing and rate can be complementary in their role of shaping the connectivity of spiking neural networks.