Backward and forward neck tilt affects perceptual bias when interpreting ambiguous figures

Sato, Fumiaki; Shiomoto, Ryoya; Nakauchi, Shigeki; Minami, Tetsuto

doi:10.1038/s41598-022-10985-4

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…In those instances, eye movements help to disambiguate the percept ( Naji and Freeman 2004 ); instead of inducing ambiguous interpretations. Accordingly, eye movements are not the only actions that should be considered during bistability, but also head movements, as it has been shown that the position of the neck affects bistability ( Sato et al. 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Bistable perception, precision and neuromodulation

Novicky,

Parr,

Friston

et al. 2023

Cerebral Cortex

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Bistable perception follows from observing a static, ambiguous, (visual) stimulus with two possible interpretations. Here, we present an active (Bayesian) inference account of bistable perception and posit that perceptual transitions between different interpretations (i.e. inferences) of the same stimulus ensue from specific eye movements that shift the focus to a different visual feature. Formally, these inferences are a consequence of precision control that determines how confident beliefs are and change the frequency with which one can perceive—and alternate between—two distinct percepts. We hypothesized that there are multiple, but distinct, ways in which precision modulation can interact to give rise to a similar frequency of bistable perception. We validated this using numerical simulations of the Necker cube paradigm and demonstrate the multiple routes that underwrite the frequency of perceptual alternation. Our results provide an (enactive) computational account of the intricate precision balance underwriting bistable perception. Importantly, these precision parameters can be considered the computational homologs of particular neurotransmitters—i.e. acetylcholine, noradrenaline, dopamine—that have been previously implicated in controlling bistable perception, providing a computational link between the neurochemistry and perception.

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Section: Discussionmentioning

confidence: 99%

Bistable perception, precision and neuromodulation

Novicky,

Parr,

Friston

et al. 2023

Cerebral Cortex

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Enhancing Bayesian Approaches in the Cognitive and Neural Sciences via Complex Dynamical Systems Theory

Favela

Amon

2023

Dynamics

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In the cognitive and neural sciences, Bayesianism refers to a collection of concepts and methods stemming from various implementations of Bayes’ theorem, which is a formal way to calculate the conditional probability of a hypothesis being true based on prior expectations and updating priors in the face of errors. Bayes’ theorem has been fruitfully applied to describe and explain a wide range of cognitive and neural phenomena (e.g., visual perception and neural population activity) and is at the core of various theories (e.g., predictive processing). Despite these successes, we claim that Bayesianism has two interrelated shortcomings: its calculations and models are predominantly linear and noise is assumed to be random and unstructured versus deterministic. We outline ways that Bayesianism can address those shortcomings: first, by making more central the nonlinearities characteristic of biological cognitive systems, and second, by treating noise not as random and unstructured dynamics, but as the kind of structured nonlinearities of complex dynamical systems (e.g., chaos and fractals). We provide bistable visual percepts as an example of a real-world phenomenon that demonstrates the fruitfulness of integrating complex dynamical systems theory in Bayesian treatments of perception. Doing so facilitates a Bayesianism that is more capable of explaining a number of currently out-of-reach natural phenomena on their own, biologically realistic terms.

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Backward and forward neck tilt affects perceptual bias when interpreting ambiguous figures

Cited by 2 publications

References 38 publications

Bistable perception, precision and neuromodulation

Bistable perception, precision and neuromodulation

Enhancing Bayesian Approaches in the Cognitive and Neural Sciences via Complex Dynamical Systems Theory

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