Extending Bayesian Models of the Rubber Hand Illusion

Area of Science:

• Neuroscience
• Cognitive Science
• Psychology

Background:

• The Rubber Hand Illusion (RHI) typically requires objects to resemble the body.
• Existing Bayesian models of RHI have limitations in explaining ownership of dissimilar objects.
• Empirical evidence challenges the necessity of structural similarity for embodiment.

Purpose of the Study:

• To extend current Bayesian models of the Rubber Hand Illusion (RHI).
• To incorporate novel factors for a more comprehensive explanation of multisensory integration in RHI.
• To challenge appearance-based constraints on body ownership.

Main Methods:

• Analysis of existing Bayesian models for RHI.
• Proposing extensions to Bayesian models including skin-based spatial information.
• Introducing Bayesian Coupling Priors based on learned relatedness, temporal binding, and peripersonal space.

Main Results:

• Extended Bayesian models can account for cross-compensation of sensory signals in RHI.
• Bayesian Coupling Priors quantify individual differences in integrating visual and somatosensory signals.
• The proposed model offers a comprehensive explanation for RHI phenomena.

Conclusions:

• The extended Bayesian model provides a more robust framework for understanding RHI.
• Appearance-based internal body models are not explanatorily necessary for RHI.
• This approach offers an empirically testable proposition for multisensory integration research.