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Out of the blue: understanding abrupt and wayward transitions in thought using probability and predictive processing

Caitlin Mills, Andre Zamani, Rebecca White, Kalina Christoff

Philosophical Transactions of the Royal Society B Biological Sciences December 13, 2020 DOI: 10.1098/rstb.2019.0692 (opens in new tab) via OpenAlex

Summary

AI-generated from the abstract

Abrupt transitions in thought content occur at surprising times but lead to unsurprising content, while wayward transitions occur at surprising times and also lead to surprising content. The authors distinguish these two types using probabilistic and predictive processing concepts, employing transition and occurrence probability metrics. They discuss how these transitions may contribute to mental function and their possible neural implementation.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Surprise Phenomenology philosophy Perception Feeling Transition genetics
Citations 27
Key finding Proposes that two types of surprising thought transitions—abrupt and wayward—can be distinguished by different probability metrics, and that these may contribute beneficially to mental function.

Abstract

Thoughts that appear to come to us ‘out of the blue’ or ‘out of nowhere’ are a familiar aspect of mental experience. Such thoughts tend to elicit feelings of surprise and spontaneity. Although we are beginning to understand the neural processes that underlie the arising of such thoughts, little is known about what accounts for their peculiar phenomenology. Here, we focus on one central aspect of this phenomenology—the experience of surprise at their occurrence, as it relates to internal probabilistic predictions regarding mental states. We introduce a distinction between two phenomenologically different types of transitions in thought content: (i) abrupt transitions , which occur at surprising times but lead to unsurprising thought content, and (ii) wayward transitions , which occur at surprising times and also lead to surprising thought content. We examine these two types of transitions using a novel approach that combines probabilistic and predictive processing concepts and principles. We employ two different probability metrics—transition and occurrence probability—to characterize and differentiate between abrupt and wayward transitions. We close by discussing some potentially beneficial ways in which these two kinds of transitions in thought content may contribute to mental function, and how they may be implemented at the neural level. This article is part of the theme issue ‘Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation’.

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