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Related Concept Videos

Decision Making01:20

Decision Making

182
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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Decision Making: Traditional Method01:14

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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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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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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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Related Experiment Video

Updated: Aug 24, 2025

Modulating Cognition Using Transcranial Direct Current Stimulation of the Cerebellum
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tDCS augments decision-making efficiency in an intensity dependent manner: A training study.

Shane E Ehrhardt1, Timothy Ballard1, Yohan Wards1

  • 1School of Psychology, The University of Queensland, St Lucia, Australia.

Neuropsychologia
|October 22, 2022
PubMed
Summary

Transcranial direct current stimulation (tDCS) intensity non-linearly affects cognitive training. Optimal tDCS intensity enhances decision-making efficiency on trained tasks and improves performance on untrained tasks.

Keywords:
Cognitive trainingDecision-makingIntensity (dosage)Linear ballistic accumulatortDCS

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Computational Neuroscience

Background:

  • Transcranial direct current stimulation (tDCS) can enhance cognitive training outcomes.
  • Stimulation intensity's role in modulating cognitive processing for training and transfer effects remains unclear.
  • Decision-making modeling provides a framework to investigate these effects.

Purpose of the Study:

  • To investigate how tDCS intensity influences cognitive processes underlying decision-making performance.
  • To examine the impact of different tDCS intensities on trained and untrained task performance.
  • To understand the non-linear relationship between tDCS intensity and cognitive training outcomes.

Main Methods:

  • Applied decision-making modeling using the linear ballistic accumulator framework.
  • Recruited 123 participants assigned to sham, 0.7 mA, 1.0 mA, or 2.0 mA tDCS groups.
  • Participants underwent four training sessions with concurrent tDCS delivery.

Main Results:

  • 0.7 mA and 1.0 mA tDCS intensities yielded the greatest improvements in decision-making efficiency (drift rates) on the trained task compared to sham or 2.0 mA.
  • An inverted U-shaped function was observed between tDCS intensity and trained task performance.
  • 1.0 mA and 2.0 mA tDCS intensities enhanced performance on an untrained transfer task.

Conclusions:

  • tDCS intensity non-linearly modulates cognitive processes related to decision-making efficiency.
  • Both sub-optimal (low or no) and supra-optimal (high) stimulation intensities can be detrimental to trained task performance.
  • Specific tDCS intensities can facilitate transfer effects to untrained tasks.