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Related Experiment Video

Updated: Dec 30, 2025

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Inhibition in selective attention.

Dirk van Moorselaar¹, Heleen A Slagter¹

¹Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam and Institute of Brain and Behavior Amsterdam, Amsterdam, the Netherlands.

Annals of the New York Academy of Sciences

|January 18, 2020

Summary

This summary is machine-generated.

Understanding how the brain filters distractions is key. Research shows distractor inhibition relies on experience, not just active focus, impacting how we process information and maintain attention.

Keywords:

EEG attention brain inhibition predictive processing

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Area of Science:

Cognitive Neuroscience
Perception
Attention

Background:

Attentional control is vital for focusing on relevant information and ignoring distractions.
Distractor inhibition may involve voluntary control or be influenced by prior experience.
Neural mechanisms underlying different forms of distractor inhibition are not fully understood.

Purpose of the Study:

To review behavioral and neuroimaging studies on distractor inhibition.
To explore how experience modulates distractor processing within predictive processing frameworks.
To clarify the neural implementation of distractor inhibition.

Main Methods:

Review of existing behavioral studies.
Analysis of neuroimaging findings (e.g., fMRI, EEG).
Integration of predictive processing theories of perception.

Main Results:

Distractor inhibition often relies on learned associations and predictive mechanisms, not solely active working memory.
Experience can alter distractor representation proactively or reactively.
Neural evidence suggests distinct pathways for experience-dependent and voluntary inhibition.

Conclusions:

Distractor inhibition is a complex process influenced by learning and prediction.
Future research should focus on the neural dynamics of experience-based inhibition.
Understanding these mechanisms is crucial for cognitive function and potential interventions.