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Search · four archives
17 papers · ranked by Valyu relevance
Sebastian Wallot, Andreas Roepstorff, Dan Mønster
MdRQA is a recurrence-based analysis technique to gauge the coordination pattern of multiple variables over time. The key concept of MdRQA, as the name suggests, is recurrence, meaning how the variables of interest repeat their values over time. MdRQA quantifies patterns of repetitions, which-depending on the…
Sebastian Wallot, Giuseppe Leonardi
This paper provides a practical, hands-on introduction to cross-recurrence quantification analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional recurrence quantification analysis (MdRQA) in R. These methods have enjoyed increasing popularity in the cognitive and social sciences since a…
Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
In order to support the burgeoning field of research into intra- and interpersonal synchrony, we present an open-source software package: multiSyncPy. Multivariate synchrony goes beyond the bivariate case and can be useful for quantifying how groups, teams, and families coordinate their behaviors, or estimating the…
Caitrín Hall, Ji Chul Kim, Alexandra Paxton, Sebastian Wallot
Perception-action coordination (also known as sensorimotor synchronization, SMS) is often studied by analyzing motor coordination with auditory rhythms. The current study assesses phasing-a compositional technique in which two people tap the same rhythm at varying phases by adjusting tempi-to explore how SMS is…
Michaela Areti Zervou, Effrosyni Doutsi, Pavlos Pavlidis, Panagiotis Tsakalides
Protein structure prediction is one of the most significant problems in bioinformatics, as it has a prominent role in understanding the function and evolution of proteins. Designing a computationally efficient but at the same time accurate prediction method remains a pressing issue, especially for sequences that we…
Sebastian Wallot, Dan Mønster
> One issue with the analysis of complex systems and the interaction between such systems is that they are composed of different number of components, or simply the fact that a different number of observables is available for each system. The challenge is how to analyze the interaction of two systems which are not…
Swarag Thaikkandi, K. M. Sharika
In recent years, recurrent quantification analysis (RQA) and its multi-dimensional version (MdRQA) have emerged as a popular tool for assessing interpersonal behavioral or physiological synchrony in groups of two or more individuals. While experimental data in such studies are typically collected for a fixed…
Moreno I. Coco, Dan Mønster, G. G. Leonardi, Rick Dale + 1 more
'Sebastian Wallot'] Recurrence quantification analysis is a widely used method for characterizing patterns in time series. This article presents a comprehensive survey for conducting a wide range of recurrence-based analyses to quantify the dynamical structure of single and multivariate time series, and to capture…
Sebastian Wallot, Dan Mønster
Using the method or time-delayed embedding, a signal can be embedded into higher-dimensional space in order to study its dynamics. This requires knowledge of two parameters: The delay parameter τ, and the embedding dimension parameter D. Two standard methods to estimate these parameters in one-dimensional time series…
Shivam Kumar, Ram B. Misra, G. Ambika
The emergent dynamics of complex systems often arise from the internal dynamical interactions among different elements and hence is to be modeled using multiple variables that represent the different dynamical processes. When such systems are to be studied using observational or measured data, we may benefit from using…
Alon Tomashin, Giuseppe Leonardi, Sebastian Wallot, Franco Orsucci + 1 more
'Wolfgang Tschacher'] Fractal properties in time series of human behavior and physiology are quite ubiquitous, and several methods to capture such properties have been proposed in the past decades. Fractal properties are marked by similarities in statistical characteristics over time and space, and it has been…
Hanhuai Zhu, Jingjing Huang, Zhi-Xi Wang, Shao-Ming Fei
Recurrence Plot (RP) is a method employed to analyze the periodicity, chaoticity, and nonlinear characteristics of complex systems. Quantum Principal Component Analysis (QPCA), on the other hand, achieves dimensionality reduction of sample data using density matrices based on quantum circuits. We improve the distance…
Krzysztof Bielski, Sylwia Adamus, Emilia Kolada, Joanna Rączaszek-Leonardi + 1 more
Several previous attempts have been made to divide the human amygdala into smaller subregions based on the unique functional properties of the subregions. Although these attempts have provided valuable insight into the functional heterogeneity in this structure, the possibility that spatial patterns of functional…
Ahmad Moniri, Jesus Rodriguez-Manzano, Pantelis Georgiou
Research into improving methods for absolute quantification of nucleic acids using standard curves has plateaued despite its positive, far-reaching impact on biomedical applications and clinical diagnostics. Currently, the mathematics involved in this mature area is restricted by the simplicity of conventional standard…
Alejandro Leon, Varsovia Hernandez-Eslava, Juan Lopez, Isiris Guzman + 5 more
Behavioral systems, understanding it as an emergent system comprising the environment and organism subsystems, include spatial dynamics as a primary dimension in natural settings. Nevertheless, under the standard approaches, the experimental analysis of behavior is based on the single response paradigm and the temporal…
Farshad Kheiri, Shyam Sundaram, Anatol Bragin
This study uses nonlinear analysis techniques to distinguish between mind wandering (MW) and focused attention (FA) states using EEG data. EEG recordings from 21 sessions were segmented into intervals of 2, 3, 5, 6, 10, and 15 seconds, and seven nonlinear features were extracted to capture the brain’s dynamic…
Authors not listed
Electrochemical impedance spectroscopy (EIS) coupled with distribution of relaxation times (DRT) analysis is a robust framework for characterizing electrochemical systems. However, DRT deconvolution is often plagued by spurious peaks, hindering accurate process identification and quantitative parameter estimation. To…