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A Tactile Automated Passive-Finger Stimulator TAPS

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Generalization of prior information for rapid Bayesian time estimation.

Neil W Roach¹, Paul V McGraw², David J Whitaker^3,4

¹Visual Neuroscience Group, School of Psychology, The University of Nottingham, Nottingham NG7 2RD, United Kingdom; neil.roach@nottingham.ac.uk.

Proceedings of the National Academy of Sciences of the United States of America

|December 24, 2016

Summary

The brain rapidly learns expectations by generalizing across sensory experiences, but organizes these priors based on motor actions. This helps balance accurate and adaptable environmental interactions.

Keywords:

Bayesian inference sensorimotor learning time perception

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Area of Science:

Cognitive neuroscience
Perception and action
Learning and memory

Background:

The brain integrates sensory input with prior experience to interpret the environment.
Learning statistical regularities improves perception and action, but how priors are learned and generalized remains unclear.
Balancing specificity and generalization of priors is crucial for efficient environmental interaction.

Purpose of the Study:

Investigate how the brain resolves competing demands of prior specificity and generalization during early learning.
Examine the role of sensory and motor contexts in shaping the acquisition of priors.
Understand the mechanisms underlying rapid prior acquisition and adaptation.

Main Methods:

Utilized duration reproduction tasks with rapidly induced contextual biases.
Manipulated sensory signals and motor outputs associated with duration distributions.
Analyzed observer behavior to infer the structure of acquired priors.

Main Results:

Observers initially form a single, generalized prior when duration distributions are linked to distinct sensory signals.
Multiple, distinct priors emerge when duration distributions are coupled with different motor outputs.
Rapid prior acquisition is influenced by generalization across sensory inputs but organized by motor responses.

Conclusions:

Prior acquisition is facilitated by generalizing across diverse sensory experiences.
The organization of acquired priors depends on the nature of the motor output associated with sensory information.
Findings suggest a flexible mechanism for prior learning that prioritizes action-relevant organization.