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Related Concept Videos

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings.
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
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High-Level and Low-Level Awareness

Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Bystander Effect

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Related Experiment Video

Updated: May 28, 2026

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

There is no Such Thing as Attention.

Britt Anderson1

  • 1Department of Psychology and Centre for Theoretical Neuroscience, University of Waterloo Waterloo, ON, Canada.

Frontiers in Psychology
|October 7, 2011
PubMed
Summary

Attention research faces challenges due to flawed concepts. A new framework, using Bayesian decision processes, offers a more accurate, quantitative approach to understanding attention and its neural basis.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Philosophy of Mind

Background:

  • Attention research has long-standing core issues, despite millennia of inquiry.
  • Current understanding is hindered by spurious dichotomies, reification of attention as a cause, and conflation of facts with theory.

Purpose of the Study:

  • To propose a conceptual correction for attention research.
  • To advocate for a new technical vocabulary for a more nuanced understanding of attention.
  • To facilitate more definitive experimental designs in psychology and neuroscience.

Main Methods:

  • Critique of existing conceptual frameworks in attention research.
  • Proposal of a new conceptual vocabulary based on Bayesian decision processes.
  • Emphasis on viewing attention as an effect rather than a cause.
Keywords:
Bayesattentionreification

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Related Experiment Videos

Last Updated: May 28, 2026

Methods to Test Visual Attention Online
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Methods to Test Visual Attention Online

Published on: February 19, 2015

Artificial Intelligence-Based System for Detecting Attention Levels in Students
06:37

Artificial Intelligence-Based System for Detecting Attention Levels in Students

Published on: December 15, 2023

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

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

Published on: July 5, 2015

Main Results:

  • Identifies key errors in current attention research: spurious dichotomies, reification, and equating facts with theory.
  • Suggests a new vocabulary for continuous distribution of attentional effects.
  • Highlights the utility of Bayesian decision process terminology for quantitative predictions and neural mapping.

Conclusions:

  • Adopting a framework where attentional effects are consequences, not causes, will improve experimental rigor.
  • A revised conceptual approach, utilizing Bayesian terminology, can enhance the productivity of neuroscientific research on attention.