activity
20052019
most citedManifold Learning Approach for Chaos in the Dripping Faucet

21 citations · 63 across the 6 of their papers we have counts for

collaborators

6 papers

nlin.CD2019★ 3 cited

Phase description of chaotic oscillators

Takashi Imai, Hiromichi Suetani, Toshio Aoyagi

This paper presents a phase description of chaotic dynamics for the study of chaotic phase synchronization. A prominent feature of the proposed description is that it systematicall…

nlin.CD2012★ 19 cited

Chaotic Phase Synchronization in Bursting-neuron Models Driven by a Weak Periodic Force

Hiroyasu Ando, Hiromichi Suetani, Juergen Kurths +1

We investigate the entrainment of a neuron model exhibiting a chaotic spiking-bursting behavior in response to a weak periodic force. This model exhibits two types of oscillations…

nlin.CD2012★ 21 cited

Manifold Learning Approach for Chaos in the Dripping Faucet

Hiromichi Suetani, Karin Soejima, Rei Matsuoka +2

Dripping water from a faucet is a typical example exhibiting rich nonlinear phenomena. For such a system, the time stamps at which water drops separate from the faucet can be direc…

nlin.PS2006★ 2 cited

Pulse Dynamics in Coupled Excitable FIbers: Soliton-like Collision, Recombination, and Overtaking

Hiromichi Suetani, Tatsuo Yanagita, Kazuyuki Aihara

We study the dynamics of a reaction-diffusion system composed of two mutually coupled excitable fibers. We focus on the situation in which dynamical properties of the two fibers ar…

nlin.CD2005★ 1 cited

Detecting Generalized Synchronization of Chaotic Dynamical Systems: A Kernel-based Method and Choice of Its Parameter

Hiromichi Suetani, Yukito Iba, Kazuyuki Aihara

An approach based on the kernel methods for capturing the nonlinear interdependence between two signals is introduced. It is demonstrated that the proposed approach is useful for c…

nlin.CD2005★ 17 cited

Detecting Generalized Synchronization Between Chaotic Signals: A Kernel-based Approach

Hiromichi Suetani, Yukito Iba, Kazuyuki Aihara

A unified framework for analyzing generalized synchronization in coupled chaotic systems from data is proposed. The key of the proposed approach is the use of the kernel methods re…