What is behind partial repetition costs? Event-files do not fully occupy bound feature codes
Viola Mocke1, Elena Benini2, Juhi Parmar3
1Department of Psychology, Julius-Maximilians-Universität, Würzburg, Germany. viola.mocke@uni-wuerzburg.de.
Psychonomic Bulletin & Review
|March 3, 2023
Summary
Feature binding involves creating event-files. This study found that partial repetition costs still occur even when some features repeat, suggesting feature codes are not fully occupied during binding.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Perception
Background:
- Feature binding theory explains how perceived and produced events are integrated into 'event-files'.
- Partial repetition costs, where performance is impaired by partial feature overlap with previous events, indicate feature binding.
- The underlying mechanism of these costs, specifically whether feature codes are fully occupied, remains unclear.
Purpose of the Study:
- To investigate the 'code occupation account' of feature binding by testing if feature codes are fully occupied when bound.
- To determine if partial repetition costs are reduced, but still present, when an intermediate trial partially repeats features of a previous event.
Main Methods:
- Participants performed a task responding to the font color (target) of a word (distractor) by pressing one of three keys.
- Partial repetition costs were measured from a prime trial to a probe trial, with an intermediate trial inserted between them.
- The intermediate trial either repeated no prime features, or repeated the prime response or distractor feature.
Main Results:
- Partial repetition costs were observed in the probe trial even when one feature (response or distractor) was repeated in the intermediate trial.
- These costs were significantly reduced compared to when no features were repeated in the intermediate trial.
Conclusions:
- The findings suggest that single feature bindings do not fully occupy feature codes, challenging the code occupation account.
- This research contributes to a more precise understanding of feature binding mechanisms by ruling out a potential explanation for partial repetition costs.
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