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Susan M. Courtney

Researcher at Johns Hopkins University

Publications -  84
Citations -  8419

Susan M. Courtney is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Working memory & Prefrontal cortex. The author has an hindex of 34, co-authored 81 publications receiving 7944 citations. Previous affiliations of Susan M. Courtney include National Institutes of Health & University of Pennsylvania.

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Information processing biases in the brain: Implications for decision-making and self-governance.

TL;DR: Recent research indicates that what the authors pay attention to is influenced by their prior experiences, including reward history and past successes and failures, even when they are not aware of this history.
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Value-driven attentional capture is modulated by the contents of working memory: An EEG study.

TL;DR: Electroencephalography results appear to reflect less capture of attention during maintenance of specific location information, and suggest that value-driven attentional capture can be mitigated as a function of the type of information maintained in WM.
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Age-related differences in network structure and dynamic synchrony of cognitive control

TL;DR: This paper investigated the cognitive variability in older adults by linking the influence of white matter microstructure on the task-related organization of fast and effective communications between brain regions using diffusion tensor imaging and electroencephalography.
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A neural mechanism of cognitive control for resolving conflict between abstract task rules

TL;DR: Functional neuroimaging findings indicate part of the frontal cortex provides a bias signal, representing task rules, that enhances task-relevant information in order to enhance abstract representations that are independent of particular stimuli or motor responses.
Posted ContentDOI

Age-related differences in network structure and dynamic synchrony of cognitive control

TL;DR: A mechanistic framework of cognitive variability in older adults is proposed, linking the influence of white matter microstructure on fast and effective communications between brain regions, and it is shown that older individuals with high versus low structural network clustering differ in task-related network dynamics and cognitive performance.