Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reason and Intuition01:37

Reason and Intuition

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 brain can only use...
Decision Making01:20

Decision Making

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...
The Availability Heuristic01:08

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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...
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Integrated Computational Framework for the Neurobiology of Memory Based on the ACT-R Declarative Memory System.

Computational brain & behavior·2026
Same author

Computational assessment of memory function in kidney transplant recipients and donors.

Communications medicine·2026
Same author

Default mode network connectivity predicts individual differences in long-term forgetting: Evidence for storage degradation, not retrieval failure.

PLoS computational biology·2025
Same author

Allocating Mental Effort in Cognitive Tasks: A Model of Motivation in the ACT-R Cognitive Architecture.

Topics in cognitive science·2023
Same author

Reliance on Episodic vs. Procedural Systems in Decision-Making Depends on Individual Differences in Their Relative Neural Efficiency.

bioRxiv : the preprint server for biology·2023
Same author

Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality.

Topics in cognitive science·2022

Related Experiment Video

Updated: Jul 17, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

Reliance on Episodic vs. Procedural Systems in Decision-Making Depends on Individual Differences in Their Relative

Yuxue C Yang1, Catherine Sibert2, Andrea Stocco1

  • 1Department of Psychology, University of Washington, Seattle, WA 98195 USA.

Computational Brain & Behavior
|July 16, 2026
PubMed
Summary

Individual decision-making strategies are adaptively shaped by brain connectivity. People with stronger memory region connections prefer memory-based choices, while those with stronger sensorimotor connections favor reinforcement-based choices.

Keywords:
Computational modelsDecision-makingDeclarative memoryEpisodic memoryFunctional connectivityHuman connectome projectIndividual differencesProcedural memoryReinforcement learningfMRI

More Related Videos

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

Related Experiment Videos

Last Updated: Jul 17, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
09:53

Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

Published on: March 13, 2026

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

Area of Science:

  • Cognitive Neuroscience
  • Neuroeconomics

Background:

  • Experiential decision-making involves memory-based or reinforcement-based processes.
  • Individual strategy preferences are key to understanding decision-making.

Purpose of the Study:

  • To investigate how resting-state brain connectivity influences the choice between memory-based and reinforcement-based decision-making strategies.
  • To determine if neural connectivity adaptively shapes strategy selection.

Main Methods:

  • Utilized computational cognitive models to classify participants' primary decision-making strategy.
  • Assessed resting-state functional connectivity in specific brain regions associated with memory and reinforcement learning.
  • Correlated brain connectivity patterns with chosen decision-making strategies.

Main Results:

  • Individuals with stronger connectivity in memory-related brain regions preferentially employed memory-based strategies.
  • Participants with greater connectivity in sensorimotor and habit-formation regions favored reinforcement-based strategies.
  • Strategy preference was linked to neural connectivity, even when strategies yielded equivalent payoffs.

Conclusions:

  • Resting-state brain connectivity adaptively shapes experiential decision-making strategy selection.
  • Neural efficiency, reflected in connectivity, influences the choice between memory and reinforcement processes.
  • Human decision-making is sensitive to the neural costs associated with different cognitive strategies.