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

Decision Making: P-value Method01:09

Decision Making: P-value Method

7.2K
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...
7.2K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.8K
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...
5.8K
Decision Making01:20

Decision Making

1.2K
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...
1.2K
Reason and Intuition01:37

Reason and Intuition

7.7K
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...
7.7K
Hindsight Biases01:12

Hindsight Biases

4.5K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.5K
Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

837
Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
837

You might also read

Related Articles

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

Sort by
Same author

The role of attention in multi attribute decision making.

Nature communications·2025
Same author

The Richness of Vision in the Mammalian Brain: Neural Codes for Visual Perception and Behavior in Three Dimensions.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Neural basis of self-control.

bioRxiv : the preprint server for biology·2025
Same author

An Exploratory Study of Large-Scale Brain Networks during Gambling Using SEEG.

Brain sciences·2024
Same author

How Shape Perception Works, in Two Dimensions and Three Dimensions.

Annual review of vision science·2024
Same author

An inferotemporal coding strategy robust to partial object occlusion.

bioRxiv : the preprint server for biology·2024
Same journal

Sparse component analysis: A method that uncovers separable computations within neural population activity.

Neuron·2026
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026
See all related articles

Related Experiment Video

Updated: Apr 3, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.6K

The Decision Path Not Taken.

Charles E Connor1, Veit Stuphorn1

  • 1Department of Neuroscience and Krieger Mind/Brain Institute, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA.

Neuron
|September 25, 2015
PubMed
Summary
This summary is machine-generated.

Real-life decisions involve complex choices. This study introduces a new method to understand the brain

More Related Videos

Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.3K
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

14.5K

Related Experiment Videos

Last Updated: Apr 3, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.6K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

9.3K
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

14.5K

Area of Science:

  • Neuroscience
  • Decision-making research
  • Cognitive science

Background:

  • Real-world decisions frequently entail sequential choices.
  • These choices often involve options that are competing and interdependent.
  • Understanding the neural basis of complex decision-making is crucial.

Purpose of the Study:

  • Introduce a novel experimental paradigm.
  • Dissect the neural strategies employed in complex decision-making.
  • Provide a framework for studying sequential, interdependent choices.

Main Methods:

  • Development of a new decision-making task.
  • Utilizing neuroimaging or behavioral analysis (details not provided in abstract).
  • Focus on analyzing choice patterns and underlying neural computations.

Main Results:

  • The study presents a new paradigm for decision-making research.
  • It allows for the investigation of neural mechanisms in complex choice scenarios.
  • Provides insights into how the brain handles interdependent options.

Conclusions:

  • The introduced paradigm is effective for studying complex decisions.
  • Offers a valuable tool for future neuroscience research.
  • Advances understanding of neural strategies in real-life decision-making.