title: Does high firing irregularity enhance learning?
abstract: In this note, we demonstrate that the high firing irregularity produced by the leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the mechanism used in the brain for reproducing the highly irregular cortical neuron firing at high rates (Bugmann, Christodoulou, & Taylor, 1997; Christodoulou & Bugmann, 2001), enhances learning. More specifically, it enhances reward-modulated spike-timing-dependent plasticity with eligibility trace when used in spiking neural networks, as shown by the results when tested in the simple benchmark problem of XOR, as well as in a complex multiagent setting task.
authors.affiliation: Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus cchrist@cs.ucy.ac.cy.
authors.forename: Chris
authors.initials: C
authors.lastname: Christodoulou
authors.forename: Aristodemos
authors.initials: A
authors.lastname: Cleanthous
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D005717:Games, Experimental; D007858:Learning / Q000502:physiology*; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*