Title :
Analysis of various transient phenomena and co-existing periodic spike-trains in simple digital spike maps
Author :
Horimoto, Narutoshi ; Saito, Takashi
Author_Institution :
EE Dept., Hosei Univ., Tokyo, Japan
Abstract :
This paper studies various transient- and steady-state spike-trains generated by the digital spike map: a simple digital dynamical system from a set of one-dimensional lattice points to itself. In order to consider the spike-trains, three feature quantities are presented: 1) the number of periodic spike-trains that can characterize richness of the steady states, 2) the concentricity of spike-position transition that can characterize transition of map, and 3) the concentricity of direct transition to the periodic spike-trains that can characterize local stability of the steady state. Based on these quantities, we give basic classification of dynamics of spike-trains and demonstrate typical examples. The results can be basic information to develop study of digital spike systems and their applications.
Keywords :
neural nets; neurophysiology; transient analysis; coexisting periodic spike-trains; digital dynamical system; digital spike systems; one-dimensional lattice points; simple digital spike maps; spike-position transition concentricity; spike-train dynamics classification; steady-state spike-trains; transient phenomena analysis; transient-state spike-trains; Concrete; Lattices; Neurons; Nickel; Stability analysis; Steady-state; Transient analysis;
Conference_Titel :
Neural Networks (IJCNN), The 2013 International Joint Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-6128-6
DOI :
10.1109/IJCNN.2013.6706951