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  1. Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series.Tian Linger Xu, Kaya de Barbaro, Drew H. Abney & Ralf F. A. Cox - 2020 - Frontiers in Psychology 11:521451.
    The temporal structure of behavior contains a rich source of information about its dynamic organization, origins, and development. Today, advances in sensing and data storage allow researchers to collect multiple dimensions of behavioral data at a fine temporal scale both in and out of the laboratory, leading to the curation of massive multimodal corpora of behavior. However, along with these new opportunities come new challenges. Theories are often underspecified as to the exact nature of these unfolding interactions, and psychologists have (...)
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  • Constraints are the solution, not the problem.Sebastian Wallot & Damian Kelty-Stephen - 2014 - Frontiers in Human Neuroscience 8.
  • Categorical Cross-Recurrence Quantification Analysis Applied to Communicative Interaction during Ainsworth’s Strange Situation.Danitza Lira-Palma, Karolyn González-Rosales, Ramón D. Castillo, Rosario Spencer & Andrés Fresno - 2018 - Complexity 2018:1-15.
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  • To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task.Maurice Lamb, Rachel W. Kallen, Steven J. Harrison, Mario Di Bernardo, Ali Minai & Michael J. Richardson - 2017 - Frontiers in Psychology 8.
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  • Gaze fluctuations are not additively decomposable: Reply to Bogartz and Staub.Damian G. Kelty-Stephen & Daniel Mirman - 2013 - Cognition 126 (1):128-134.
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  • The Self-Organization of a Spoken Word.John G. Holden & Srinivasan Rajaraman - 2012 - Frontiers in Psychology 3.
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  • Multifractal Dynamics in the Emergence of Cognitive Structure.James A. Dixon, John G. Holden, Daniel Mirman & Damian G. Stephen - 2012 - Topics in Cognitive Science 4 (1):51-62.
    The complex-systems approach to cognitive science seeks to move beyond the formalism of information exchange and to situate cognition within the broader formalism of energy flow. Changes in cognitive performance exhibit a fractal (i.e., power-law) relationship between size and time scale. These fractal fluctuations reflect the flow of energy at all scales governing cognition. Information transfer, as traditionally understood in the cognitive sciences, may be a subset of this multiscale energy flow. The cognitive system exhibits not just a single power-law (...)
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  • Gaze step distributions reflect fixations and saccades: A comment on.Richard S. Bogartz & Adrian Staub - 2012 - Cognition 123 (2):325-334.
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  • Factorization of Force and Timing in Sensorimotor Performance: Long‐Range Correlation Properties of Two Different Task Goals.Ramesh Balasubramaniam, Michael J. Hove & Butovens Médé - 2018 - Topics in Cognitive Science 10 (1):120-132.
    Long‐range correlation is a general class of coordination pattern found to be common to the intrinsic dynamics of complex systems, including human behavior. Balasubramaniam, Hove, and Médé investigate intrinsic dynamics in repeated finger movements, and they find that different measures of movement dynamics yield different long‐range correlations. Results shed light on the way that coordination patterns are expressed as a function of measurement context.
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