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Related Experiment Video

Updated: Jun 1, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Bayesian inference underlies the contraction bias in delayed comparison tasks.

Paymon Ashourian¹, Yonatan Loewenstein

¹Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America. paymon@mit.edu

|May 19, 2011

Summary

This study reveals that the contraction bias in delayed comparison tasks arises from Bayesian computation, optimizing performance by combining noisy sensory data with prior knowledge. This bias occurs during memory retrieval, not encoding.

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Area of Science:

Cognitive Psychology
Neuroscience
Computational Neuroscience

Background:

Delayed comparison tasks are crucial for studying working memory and perception.
Decisions in these tasks exhibit a known bias, termed contraction bias.
This bias involves systematic overestimation or underestimation of stimulus magnitudes.

Purpose of the Study:

To investigate the computational principles underlying the contraction bias.
To test the hypothesis that contraction bias results from Bayesian inference.
To determine if the bias originates during memory encoding or retrieval.

Main Methods:

A visual delayed comparison experiment was conducted.
The prior distribution of stimulus magnitudes was manipulated.
Uncertainty in the memorized stimulus representation was altered.
Choice behavior was analyzed to assess Bayesian inference.

Main Results:

Behavior was consistent with Bayesian inference, optimizing performance.
Manipulating prior distributions and stimulus uncertainty affected choice behavior as predicted by the Bayesian model.
The contraction bias was localized to memory retrieval/decision-making stages.

Conclusions:

The contraction bias can be explained by optimal Bayesian computation.
The brain combines noisy perceptual data with prior information to make decisions.
The bias emerges during the retrieval and decision process, not during initial memory encoding.