A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance. / Wallot, Sebastian; Irmer, Julien Patrick; Tschense, Monika et al.
in: Topics in Cognitive Science, 14.09.2023.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Bibtex

@article{2d68423c16f44af1b9a99b3d58d8e005,
title = "A Multivariate Method for Dynamic System Analysis: Multivariate Detrended Fluctuation Analysis Using Generalized Variance",
abstract = "Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation between these time series when estimating fractal properties. First, we briefly describe how fractal fluctuations have advanced a dynamic system understanding of cognition. Then, we describe mvDFA in detail and highlight some of the advantages of the approach for simulated data. Furthermore, we show how mvDFA can be used to investigate empirical multivariate data using electroencephalographic recordings during a time-estimation task. We discuss this methodological development within the framework of interaction-dominant dynamics. Moreover, we outline how the availability of multivariate analyses can inform theoretical developments in the area of dynamic systems in human behavior.",
keywords = "Detrended fluctuation analysis, Dynamic systems, Interaction-dominant dynamics, Multivariate analysis, R package, Time estimation, Psychology",
author = "Sebastian Wallot and Irmer, {Julien Patrick} and Monika Tschense and Nikita Kuznetsov and Andreas H{\o}jlund and Martin Dietz",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Topics in Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society.",
year = "2023",
month = sep,
day = "14",
doi = "10.1111/tops.12688",
language = "English",
journal = "Topics in Cognitive Science",
issn = "1756-8757",
publisher = "Wiley-Blackwell Publishing, Inc.",

}

RIS

TY - JOUR

T1 - A Multivariate Method for Dynamic System Analysis

T2 - Multivariate Detrended Fluctuation Analysis Using Generalized Variance

AU - Wallot, Sebastian

AU - Irmer, Julien Patrick

AU - Tschense, Monika

AU - Kuznetsov, Nikita

AU - Højlund, Andreas

AU - Dietz, Martin

N1 - Publisher Copyright: © 2023 The Authors. Topics in Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society.

PY - 2023/9/14

Y1 - 2023/9/14

N2 - Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation between these time series when estimating fractal properties. First, we briefly describe how fractal fluctuations have advanced a dynamic system understanding of cognition. Then, we describe mvDFA in detail and highlight some of the advantages of the approach for simulated data. Furthermore, we show how mvDFA can be used to investigate empirical multivariate data using electroencephalographic recordings during a time-estimation task. We discuss this methodological development within the framework of interaction-dominant dynamics. Moreover, we outline how the availability of multivariate analyses can inform theoretical developments in the area of dynamic systems in human behavior.

AB - Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation between these time series when estimating fractal properties. First, we briefly describe how fractal fluctuations have advanced a dynamic system understanding of cognition. Then, we describe mvDFA in detail and highlight some of the advantages of the approach for simulated data. Furthermore, we show how mvDFA can be used to investigate empirical multivariate data using electroencephalographic recordings during a time-estimation task. We discuss this methodological development within the framework of interaction-dominant dynamics. Moreover, we outline how the availability of multivariate analyses can inform theoretical developments in the area of dynamic systems in human behavior.

KW - Detrended fluctuation analysis

KW - Dynamic systems

KW - Interaction-dominant dynamics

KW - Multivariate analysis

KW - R package

KW - Time estimation

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=85170689774&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/0fcb8926-34ff-3ce6-a10f-e20bedaaf31f/

U2 - 10.1111/tops.12688

DO - 10.1111/tops.12688

M3 - Journal articles

C2 - 37706618

AN - SCOPUS:85170689774

JO - Topics in Cognitive Science

JF - Topics in Cognitive Science

SN - 1756-8757

ER -

DOI

Zuletzt angesehen

Publikationen

  1. A Lean Convolutional Neural Network for Vehicle Classification
  2. An extended analytical approach to evaluating monotonic functions of fuzzy numbers
  3. Effects of diversity versus segregation on automatic approach and avoidance behavior towards own and other ethnic groups
  4. Developing a Complex Portrait of Content Teaching for Multilingual Learners via Nonlinear Theoretical Understandings
  5. Support vector machines with example dependent costs
  6. The structure of emotions in learning situations
  7. Reciprocal Relationships Between Dispositional Optimism and Work Experiences
  8. Conceptualizing Role Development in Agile Transformations
  9. Predicate‐based model of problem‐solving for robotic actions planning
  10. Vergütung, variable
  11. Sensitivity to complexity - an important prerequisite of problem solving mathematics teaching
  12. Study of fuzzy controllers performance
  13. Performance Saga: Interview 01
  14. Employing A-B tests for optimizing prices levels in e-commerce applications
  15. An analytical approach to evaluating nonmonotonic functions of fuzzy numbers
  16. Between Recognition and Abstraction
  17. Species constancy depends on plot size - A problem for vegetation classification and how it can be solved
  18. The Relation of Children's Performances in Spatial Tasks at Two Different Scales of Space
  19. Petri net based EMIS-mappers for flexible manufacturing systems
  20. Schooling, local knowledge and working memory
  21. Practice and carryover effects when using small interaction devices
  22. Scaling-based Least Squares Methods with Implemented Kalman filter Approach for Nano-Parameters Identification
  23. Fusion of knowledge bases for better navigation of wheeled mobile robotic group with 3D TVS
  24. Learning linear classifiers sensitive to example dependent and noisy costs
  25. Model and Validation of the Electromagnetic Interference Produced by Power Transmission Lines in Robotic Systems
  26. Cognitive load in reading a foreign language text with multimedia aids and the influence of verbal and spatial abilities
  27. Mapping the Order of New Migration
  28. Geometric analysis of a laser scanner functioning based on dynamic triangulation
  29. Challenging the status quo of accelerator research: Concluding remarks