AUTHOR=Weber Immo , Oehrn Carina R. 

TITLE=NoLiTiA: An Open-Source Toolbox for Non-linear Time Series Analysis

JOURNAL=Frontiers in Neuroinformatics

VOLUME=Volume 16 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2022.876012

DOI=10.3389/fninf.2022.876012

ISSN=1662-5196

ABSTRACT=In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by nonlinear mechanics. Despite their relevance, many neuroscientists still apply linear estimates in order to evaluate complex interactions. This is partially due to the lack of a comprehensive compilation of nonlinear methods. Available packages mostly specialize in only one aspect of nonlinear time-series analysis and most often require some coding proficiency to use. Here, we introduce NoLiTiA, a free open-source MATLAB toolbox for nonlinear time series analysis. 
In comparison to other currently available nonlinear packages, NoLiTiA offers 1) an implementation of a broad range of classic and recently developed methods, 2) an implementation of newly proposed spatially and time-resolved recurrence amplitude analysis and 3) an intuitive environment accessible even to users with little coding experience due to a graphical user interface and batch-editor.
The core methodology derives from three distinct fields of complex systems theory, including dynamical systems theory, recurrence quantification analysis and information theory. Besides established methodology including estimation of dynamic invariants like Lyapunov exponents and entropy-based measures, such as active information storage, we include recent developments of quantifying time-resolved aperiodic oscillations. In general, the toolbox will make nonlinear methods accessible to the broad neuroscientific community engaged in time series processing.