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A neural network model of individual differences in task switching abilities
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We use a biologically grounded neural network model to investigate the brain mechanisms underlying individual differences specific to the selection and instantiation of representations that exert cognitive control in task switching. Existing computational models of task switching do not focus on individual differences and so cannot explain why task switching abilities are separable from other executive function (EF) abilities (such as response inhibition). We explore hypotheses regarding neural mechanisms underlying the "Shifting-Specific" and "Common EF" components of EF proposed in the Unity/Diversity model (Miyake & Friedman, 2012) and similar components in related theoretical frameworks. We do so by adapting a well-developed neural network model of working memory (Prefrontal cortex, Basal ganglia Working Memory or PBWM; Hazy, Frank, & O'Reilly, 2007) to task switching and the Stroop task, and comparing its behavior on those tasks under a variety of individual difference manipulations. Results are consistent with the hypotheses that variation specific to task switching (i.e., Shifting-Specific) may be related to uncontrolled, automatic persistence of goal representations, whereas variation general to multiple EFs (i.e., Common EF) may be related to the strength of PFC representations and their effect on processing in the remainder of the cognitive system. Moreover, increasing signal to noise ratio in PFC, theoretically tied to levels of tonic dopamine and a genetic polymorphism in the COMT gene, reduced Stroop interference but increased switch costs. This stability-flexibility tradeoff provides an explanation for why these two EF components sometimes show opposing correlations with other variables such as attention problems and self-restraint.
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“An alternative proposal is that the unity component reflects individual differences in the ability to actively maintain goals and use those goals to bias ongoing processing [29, 97, 167].”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [167]
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Metadata
- Authors
- Herd, S. A., O׳Reilly, R. C., Hazy, T. E., Chatham, C. H., Brant, A. M., & Friedman, N. P.
- Affiliations
- University of Colorado Boulder (US)
- Corresponding author
- Friedman, Naomi P.
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 62
- Pages
- 375-389
- ISSN
- 0028-3932 (ISSN-L)
- PMC
- PMC4167201
- OpenAlex
- W2041159118
- Cited by
- 128
- References
- 96
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 16 · 2023: 9 · 2022: 11 · 2021: 11 · 2020: 11 · 2019: 9 · 2018: 14 · 2017: 10 · 2016: 12 · 2015: 9 · 2014: 3
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- Bristol Research (University of Bristol) (publishedVersion)
- PubMed Central (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- National Institutes of Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- task switching, individual differences, cognitive control, executive function, prefrontal cortex, Stroop task, switch costs, signal-to-noise ratio, dopamine, COMT gene polymorphism, response inhibition
- MeSH terms
- Attention, Brain, Brain Mapping, Computer Simulation, Female, Humans, Individuality, Male, Memory, Short-Term, Models, Neurological, Reaction Time, Executive Function, Stroop Test
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