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Related Experiment Video

Updated: Jun 14, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Attention and its coupling to action.

Glyn W Humphreys1, Eun Young Yoon, Sanjay Kumar

  • 1University of Birmingham, UK. g.w.humphreys@bham.ac.uk

British Journal of Psychology (London, England : 1953)
|April 8, 2010
PubMed
Summary
This summary is machine-generated.

Action effects influence extinction learning, impacting response selection. This research explores the neural underpinnings and real-world applications of action-related extinction phenomena.

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Area of Science:

  • Cognitive Neuroscience
  • Behavioral Psychology

Background:

  • Action effects on extinction are debated, particularly regarding their timing (pre- or post-response selection).
  • Understanding the neural basis of action-related extinction is crucial for its application.

Purpose of the Study:

  • To elaborate on evidence for action effects on extinction.
  • To discuss the temporal dynamics of action effects in response selection.
  • To explore the neural mechanisms and real-world generalization of action-related extinction.

Main Methods:

  • Review and discussion of existing literature on action effects and extinction.
  • Analysis of commentaries on Humphreys et al. (2010) to refine theoretical perspectives.

Main Results:

  • Evidence supports action effects influencing extinction learning.
  • Discussion points towards action effects potentially occurring both pre- and post-response selection.
  • Neural mechanisms underlying action-related extinction are considered.

Conclusions:

  • Action effects play a significant role in modulating extinction learning.
  • Further research is needed to fully elucidate the temporal and neural aspects of these effects.
  • Findings have implications for understanding and applying extinction principles in real-world contexts.