Explaining the Many Varieties of Working Memory Variation: Dual Mechanisms of Cognitive Control

Clicks: 1
ID: 306682
2008
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #1,175 of 1,518 articles by views in Oxford University Press eBooks

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,518 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract This chapter shows how all working memory (WM) theorists agree that control processes are a critical component of WM function. The general theoretical framework is the dual mechanisms of control (DMC): proactive control and reactive control. They can be differentiated on the basis of their information-processing characteristics, computational properties, temporal dynamics, and underlying neural systems. Regardless of the source of WM variation, the proximal mechanisms of variation remain the same and have the same impact on brain activity and behavior. Thus, the DMC framework provides a unifying account that has the potential to synthesize and integrate a large body of literatures on WM function. By recognizing that there are multiple alternative routes to cognitive control, investigators may be in a better position to explore and investigate the complexity of empirical findings.
Reference Key
openalex_W2477868240 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Todd S. Braver, Jeremy R. Gray, Gregory C. Burgess
Journal Oxford University Press eBooks
Year 2008
DOI
10.1093/acprof:oso/9780195168648.003.0004
URL
https://doi.org/10.1093/acprof:oso/9780195168648.003.0004
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.