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

5.9K
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...
5.9K
Decision Making01:20

Decision Making

1.1K
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...
1.1K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.4K
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...
4.4K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
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...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Neural and computational correlates of strategic aborting and long-run policy optimization in the dorsolateral prefrontal cortex.

Nature communications·2026
Same author

Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.

bioRxiv : the preprint server for biology·2026
Same author

Flexible Perception of Tactile Cues in Multiple Reference Frames.

bioRxiv : the preprint server for biology·2026
Same author

The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the world.

Neuron·2026
Same author

Distributed control circuits across a brain-and-cord connectome.

Nature·2026
Same author

Temporal Structure of Reward Availability and Sensory Uncertainty Modulate Allocation Dynamics in Naturalistic Foraging.

bioRxiv : the preprint server for biology·2026
Same journal

Non-canonical amino acid incorporation enables minimally disruptive labeling of stress granule and TDP-43 proteinopathy.

eLife·2026
Same journal

Analysis of dendritic input currents during place field dynamics.

eLife·2026
Same journal

TopoMetry systematically learns and evaluates the latent geometry of single-cell data.

eLife·2026
Same journal

Navigating the path: Advice to physician-scientists on choosing a clinical specialty.

eLife·2026
Same journal

Neural activity profiles reveal overlapping, intermingled subpopulations spanning area borders in mouse sensorimotor cortex.

eLife·2026
Same journal

The exquisite mechanics of a tsetse bite.

eLife·2026
See all related articles

Related Experiment Video

Updated: Apr 28, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K

Optimal multisensory decision-making in a reaction-time task.

Jan Drugowitsch1, Gregory C DeAngelis1, Eliana M Klier2

  • 1Department of Brain and Cognitive Sciences, University of Rochester, New York, United States.

Elife
|June 16, 2014
PubMed
Summary
This summary is machine-generated.

Humans make near-optimal decisions by integrating sensory information. This study shows that even when choosing decision timing (reaction time), evidence accumulation remains optimal across senses and time.

Keywords:
cue combinationdecision-makingdiffusion modelshumanneurosciencereaction time

More Related Videos

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents
09:43

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents

Published on: August 10, 2014

45.7K
Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

16.5K

Related Experiment Videos

Last Updated: Apr 28, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K
The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents
09:43

The 5-Choice Serial Reaction Time Task: A Task of Attention and Impulse Control for Rodents

Published on: August 10, 2014

45.7K
Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

16.5K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Making

Background:

  • Multisensory integration allows near-optimal decision-making with fixed stimulus presentation times.
  • Limited understanding exists regarding decision-making optimality when reaction times are self-controlled or sensory reliability varies.

Purpose of the Study:

  • To investigate whether optimal sensory evidence integration is maintained in reaction-time tasks.
  • To determine if computational models can explain human decision-making under self-controlled reaction times.

Main Methods:

  • A reaction-time visual/vestibular heading discrimination task was employed.
  • Behavioral data were analyzed using traditional optimality metrics and a novel computational model.
  • The model simulated optimal evidence accumulation across cues and time, balancing accuracy and speed.

Main Results:

  • Traditional optimality metrics, ignoring reaction times, indicated sub-optimal behavior.
  • The developed computational model quantitatively explained both choices and reaction times.
  • Results support the hypothesis of optimal evidence accumulation even when reaction time is controlled by the subject.

Conclusions:

  • Human decision-making demonstrates optimal integration of sensory evidence over time and across modalities.
  • The ability to control reaction time does not inherently lead to sub-optimal evidence accumulation.
  • Computational modeling provides a powerful tool for understanding the dynamics of human decision-making.