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It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models

Visser, I; Speekenbrink, M; (2014) It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models. In: Bello, P and Gaurini, M and McShane, M and Scassellati, B, (eds.) Proceedings of the 36th Annual Conference of the Cognitive Science Society. (pp. 1688 - 1693). Cognitive Science Society: Austin, TX. Green open access

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Abstract

Dual or multiple systems approaches are ubiquitous in cognitive science, with examples in memory, perception, categorization, cognitive development, and many other fields. Dynamical systems models with multiple stable states or modes of behavior are also increasingly used in explaining cognitive phenomena. Catastrophe theory provides a formal framework for studying the dynamics of switching between two qualitatively distinct modes of behavior. Here we present a parametric approach to testing specific predictions about the dynamics of such switches that follow from catastrophe theory. These so-called catastrophe flags are bimodality, divergence, and hysteresis. We show how these three flags can be tested using (constrained) mixture and hidden Markov models and provide an example of each using three different data sets.

Type: Proceedings paper
Title: It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models
ISBN-13: 978-0-9911967-0-8
Open access status: An open access version is available from UCL Discovery
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/1437388
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