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Related Concept Videos

Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
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Decomposing Executive Function into Distinct Processes Underlying Human Decision Making.

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    Summary
    This summary is machine-generated.

    We developed a new task to measure executive functions (EF), like working memory and inhibition. This allows us to quantify EF deficits and their brain activity in neurological disorders.

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    Area of Science:

    • Neuroscience
    • Cognitive Psychology
    • Behavioral Science

    Background:

    • Executive function (EF) encompasses critical cognitive processes such as working memory, cognitive flexibility, and inhibition, essential for goal-directed behaviors.
    • Dysfunctions in EF are frequently observed in various neurological disorders, often leading to impaired decision-making and behavior.

    Purpose of the Study:

    • To introduce a novel behavioral task and computational modeling approach for the quantitative assessment of executive function components.
    • To investigate the dissociable variability within the core processes of executive function in human participants.

    Main Methods:

    • Development of a novel gamble-like behavioral task with sub-tasks specifically designed to target distinct EF capabilities.
    • Quantitative assessment of individual performance across different components of executive function.
    • Application of a computational modeling approach to analyze behavioral data.

    Main Results:

    • Human participants demonstrated dissociable patterns of variability in the component processes of executive function.
    • The novel task successfully allowed for the quantitative assessment of key EF components.
    • Behavioral outcomes were systematically analyzed to identify variability in cognitive processes.

    Conclusions:

    • The developed task and modeling approach provide a quantitative method for assessing executive function deficits.
    • Findings reveal dissociable variability in EF components, paving the way for future research.
    • This work lays the foundation for mapping behavioral deficits to EEG recordings and brain networks in patient populations.