Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis
A system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a variety of mechanisms, and which are often unknown. A popular method for inferrin...
Main Authors: | Tirabassi, Giulio, Sevilla-Escoboza, Ricardo, Buldú, Javier M., Masoller, Cristina |
---|---|
Format: | Online |
Language: | English |
Published: |
Nature Publishing Group
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4455306/ |
Similar Items
-
Unravelling the community structure of the climate system by using lags and symbolic time-series analysis
by: Tirabassi, Giulio, et al.
Published: (2016) -
Synchronization of networks of chaotic oscillators: Structural and dynamical datasets
by: Sevilla-Escoboza, Ricardo, et al.
Published: (2016) -
Synchronization-based computation through networks of coupled oscillators
by: Malagarriga, Daniel, et al.
Published: (2015) -
The applicability of effective connectivity measures to time series of neuronal oscillators
by: Boykin, Erin R, et al.
Published: (2011) -
Statistical Inference Methods for Sparse Biological Time Series Data
by: Ndukum, Juliet, et al.
Published: (2011)