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Related Concept Videos

Decision Making01:20

Decision Making

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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.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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Reason and Intuition01:37

Reason and Intuition

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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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Association Areas of the Cortex01:21

Association Areas of the Cortex

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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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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.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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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.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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Attractor dynamics reflect decision confidence in macaque prefrontal cortex.

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    Summary
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    Neural activity in the prefrontal cortex shows energy landscapes that predict decision consistency and confidence. Steeper energy landscapes in attractor basins correlate with more consistent choices.

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    Area of Science:

    • Neuroscience
    • Decision Science
    • Computational Neuroscience

    Background:

    • Decision consistency varies and is linked to confidence in the chosen option.
    • Theoretical models propose attractor dynamics in neural networks explain choice consistency, but neural implementation is unclear.

    Approach:

    • Monkeys performed accept/reject decisions based on visual cues for reward offers.
    • Population neural activity in the prefrontal cortex was recorded during decision-making.
    • Analysis focused on the energy landscape of attractor basins in neural activity.

    Key Points:

    • Decision consistency was lower for intermediate reward offers compared to very good or very bad offers.
    • Attractor basins in prefrontal cortex neural activity exhibited steeper energy landscapes for consistent decisions.
    • This suggests neural attractor dynamics underlie decision consistency and confidence.

    Conclusions:

    • Neural energy landscapes in the prefrontal cortex directly reflect decision consistency.
    • This provides neural evidence linking attractor dynamics to decision-making processes and confidence.