Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Attention as a controller.

Nienke J H Korsten1, Nikos Fragopanagos, Matthew Hartley

  • 1Department of Mathematics, King's College London, United Kingdom. nienke.korsten@kcl.ac.uk

Neural Networks : the Official Journal of the International Neural Network Society
|November 4, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Building capacity in imaging data management.

Journal of microscopy·2026
Same author

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Frontiers in bioinformatics·2026
Same author

An extremely lucky 9-year-old.

Eye (London, England)·2025
Same author

MIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis.

Nature methods·2025
Same author

Rapid tranquillisation for psychiatric in-patients with a diagnosis of personality disorder: under-recognised issue.

BJPsych open·2025
Same author

bia-binder: a web-native cloud compute service for the bioimage analysis community.

Bioinformatics (Oxford, England)·2025
Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

This study models the interaction between attention and executive functions, incorporating emotional influences. The extended Corollary Discharge of Attention Movement (CODAM) model accurately simulates brain imaging data from working memory tasks.

Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Psychology

Background:

  • Understanding the interplay between attention and executive functions is crucial for cognitive science.
  • Existing models often lack integration of emotional influences on these cognitive processes.

Purpose of the Study:

  • To develop an extended computational model of attention and executive function.
  • To investigate the role of value/emotion in modulating attention-executive function interactions.
  • To validate the model against experimental brain imaging data.

Main Methods:

  • Utilized the Corollary Discharge of Attention Movement (CODAM) engineering control model.
  • Extended CODAM to incorporate executive functions within working memory (rehearsal, substitution, transformation).

Related Experiment Videos

  • Integrated emotional value of stimuli into the extended CODAM framework.

    • Main Results:

    • The extended CODAM model successfully simulates executive functions under attention control.
    • Inclusion of emotional values improved model accuracy in simulating working memory tasks.
    • Model simulations showed reasonable accuracy when compared to experimental brain imaging data.

    Conclusions:

    • The extended attention model provides a framework for understanding cognition.
    • Attention and executive functions are intricately linked, with emotional salience playing a significant role.
    • Computational modeling offers valuable insights into the neural basis of cognitive interactions.