The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion

Cognitive Processing, pp. 447-457, 2019.

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Abstract:

Bayesian cognitive modeling has become a prominent tool for the cognitive sciences aiming at a deeper understanding of the human mind and applications in cognitive systems, e.g., humanoid or wearable robotics. Such approaches can capture human behavior adequately with a focus on the crossmodal processing of sensory information. The rubber...More

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