title: Oscillation, Conduction Delays, and Learning Cooperate to Establish Neural Competition in Recurrent Networks.
abstract: Specific memory might be stored in a subnetwork consisting of a small population of neurons. To select neurons involved in memory formation, neural competition might be essential. In this paper, we show that excitable neurons are competitive and organize into two assemblies in a recurrent network with spike timing-dependent synaptic plasticity (STDP) and axonal conduction delays. Neural competition is established by the cooperation of spontaneously induced neural oscillation, axonal conduction delays, and STDP. We also suggest that the competition mechanism in this paper is one of the basic functions required to organize memory-storing subnetworks into fine-scale cortical networks.
authors: School of Engineering, Tokyo University of Technology, Tokyo Japan.
authors: Hideyuki
authors: H
authors: Kato
authors: Faculty of Engineering Division I, Tokyo University of Science, Tokyo, Japan.
authors: Tohru
authors: T
authors: Ikeguchi
mesh_terms: D007858:Learning / Q000502:physiology; D008568:Memory / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology; D016571:Neural Networks, Computer; D009473:Neuronal Plasticity / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D009991:Oscillometry; D013569:Synapses