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Related Experiment Video

Updated: May 28, 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

Cueing spatial attention through timing and probability.

Giovanna Girardi¹, Gabriella Antonucci, Daniele Nico

¹Department of Psychology, University of Rome 'La Sapienza', Rome, Italy.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior

|October 11, 2011

Summary

This summary is machine-generated.

The brain dynamically shifts attention based on cue probability, not duration. This selective attention process optimizes cognitive resources by prioritizing cues with higher expected benefits for task performance.

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Last Updated: May 28, 2026

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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

Area of Science:

Cognitive Neuroscience
Psychology
Neuroscience

Background:

Humans can detect salient environmental information even during focused tasks.
The precise mechanisms by which unattended information influences attentional control remain unclear.

Purpose of the Study:

To investigate how the brain organizes cognitive resources by shifting attention between selective-attending and stimulus-driven modalities.
To examine the effect of cue-target asynchrony probabilities on attentional shifts within a spatial cueing paradigm.

Main Methods:

Utilized a spatial cueing paradigm to assess attentional shifts.
Manipulated cue-target asynchrony probabilities (relative frequencies) and durations.
Analyzed performance based on cue validity and asynchrony characteristics.

Main Results:

Attentional shifts were modulated by cue-target asynchrony probabilities.
Valid spatial cues improved performance only when target onset was highly predictable due to frequent asynchrony.
Cueing was ineffective for less frequent asynchronies, irrespective of their duration.

Conclusions:

The brain makes trial-by-trial decisions to shift spatial attention based on implicit information and expected advantages.
Attentional shifts follow a cost-benefit strategy, engaging cognitive effort only when benefits are high.
Voluntary and automatic attention involve a complex interplay of cognitive resource allocation.