title: A novel rotate-and-fire digital spiking neuron and its neuron-like bifurcations and responses.
abstract: A novel rotate-and-fire digital spiking neuron is presented. The digital neuron is a wired system of shift registers and thus it is suited to on-chip learning unlike many other analog spiking neuron models. By adjusting the wiring pattern among the registers, the digital neuron can generate spike trains with various spike patterns and can exhibit related bifurcations. A discrete-continuous hybrid map, which describes the neuron dynamics without any approximation, is derived analytically. Using the hybrid map, it is shown that the digital spiking neuron can mimic typical bifurcation phenomena and various nonlinear responses of biological neurons.
authors.affiliation: Department of Systems Innovation, OsakaUniversity, Toyonaka, Japan. hishiki@hopf.sys.es.osakau.ac.jp
authors.forename: Tetsuya
authors.initials: T
authors.lastname: Hishiki
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Torikai
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D001185:Artificial Intelligence; D003198:Computer Simulation; D008432:Mathematical Computing; D055641:Mathematical Concepts; D008564:Membrane Potentials / Q000502:physiology; D009424:Nervous System Physiological Phenomena; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D012986:Software Validation