Process Overlap Theory: A Unified Account of the General Factor of Intelligence
By Kristóf Kovács, Andrew R. A. Conway. 2016
327 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/755e6ac5b18c5ffc69398f94685d10373a039ec9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- V. Ismatullina
- I. Feklicheva
- Dana Miller‐Cotto
- S. Malykh
- Ralph Adolphs
- James P. Byrnes
- J. Dubois
- Lynn K. Paul
In Experimental and Cognitive Psychology
- V. Ismatullina
- I. Feklicheva
- Dana Miller‐Cotto
- S. Malykh
- Ralph Adolphs
- James P. Byrnes
- J. Dubois
- Lynn K. Paul
Citations in the corpus
- What’s the best way to characterize the relationship between working memory and achievement?: An initial examination of competing theories. (2020, background): “…Barnes et al., 2018; van der Maas, Kan, & Borsboom, 2014), it is possible that WM neither acts as a filter nor indexes the ability to retrieve items from LTM but, rather, WM and math are correlated because they share some underlying processes or skills (Kovacs & Conway, 2016; Sternberg, 2016).”
- A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, background): “The empirical observation of the positive manifold is well-established [18] (it is sometimes referred to as the most replicated result in all of psychology [19]).”
- Task‐specific topology of brain networks supporting working memory and inhibition (2024, background): “However, we propose that a combination of common and distinct processes is key to understanding individual differences in cognitive abilities.”