Firing synchronization of learning neuronal networks with small-world connectivity

► We model electrically and chemically coupled learning neuronal networks with small-world connectivity. ► The variation properties of synaptic weights are examined. ► The effects of the synaptic learning rate on the properties of firing rate and synchronization are investigated. ► It is found that synaptic learning suppresses over-excitement for the networks.