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Decision Making

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Related Experiment Video

Updated: Apr 12, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

Published on: December 5, 2025

Ghosts in the decision machine.

Christopher Summerfield¹, Annabelle Blangero¹

¹Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford, UK.

|May 22, 2015

Summary

This summary is machine-generated.

False detections, where the brain perceives stimuli that aren't there, are common in humans and monkeys. Carnevale et al. (2015) investigated the neural timing and mechanisms behind these false detection events.

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Area of Science:

Neuroscience
Cognitive Psychology
Perception

Background:

Humans and non-human primates sometimes report stimuli that are absent.
Understanding the neural basis of false detections is crucial for cognitive science.

Purpose of the Study:

To investigate the neural mechanisms underlying false detections.
To determine the timing of neural activity associated with false detections.

Main Methods:

The study likely involved behavioral tasks measuring detection accuracy.
Neurophysiological recordings or imaging techniques were probably used to monitor brain activity.

Main Results:

Carnevale et al. (2015) identified specific neural signatures associated with false detections.
The timing of these neural events provides insights into the processing stages involved.

Conclusions:

The findings shed light on the neural processes that lead to perceiving non-existent stimuli.
This research contributes to our understanding of perceptual decision-making and its potential failures.