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

Cable Subjected to Its Own Weight01:13

Cable Subjected to Its Own Weight

804
Overhead power transmission lines rely on cables to carry electricity across large distances. To ensure the stability and functionality of these lines, it is crucial to understand the shape and tension experienced by the cables under the influence of their weight.
A generalized loading function is employed to analyze a cable subjected to its own weight. This function considers the force acting along the cable's arc length rather than its projected length, providing a more accurate...
804
Probability Laws01:49

Probability Laws

44.4K
Overview
44.4K
Probability Distributions01:32

Probability Distributions

12.2K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
12.2K
Probability in Statistics01:14

Probability in Statistics

23.5K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.5K
Probability Histograms01:17

Probability Histograms

13.3K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
13.3K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

10.0K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K

You might also read

Related Articles

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

Sort by
Same author

Value coding by primate amygdala neurons complies with the continuity axiom of economic choice theory.

Journal of neurophysiology·2026
Same author

Fluorescence detection of dopamine signaling to the primate striatum in relation to stimulus-reward associations.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Social Risk Coding by Amygdala Activity and Connectivity with the Dorsal Anterior Cingulate Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Dopamine neurons encode trial-by-trial subjective reward value in an auction-like task.

Nature communications·2024
Same author

A dopamine mechanism for reward maximization.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

A view-based decision mechanism for rewards in the primate amygdala.

Neuron·2023
Same journal

Defining and characterizing the relevant state variables of the mammalian gut ecosystem.

Cell reports·2026
Same journal

Distinct compositional changes but shared quantitative microbiome and anti-inflammatory modulations by diet.

Cell reports·2026
Same journal

HPD is a copper-binding protein that interacts with DLAT to promote colorectal cancer cuproptosis under copper stress.

Cell reports·2026
Same journal

Rotational trophoblast organoids reveal biomechanical regulation of trophoblast differentiation.

Cell reports·2026
Same journal

Dysregulated calcium signaling underlies hyposalivation and microbial dysbiosis in Down syndrome.

Cell reports·2026
Same journal

Collagen 1-mediated CXCL1 secretion in tumor cells activates fibroblasts to promote radioresistance of esophageal cancer.

Cell reports·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.5K

Full dopamine coding of basic economic subjective value: Utility and weighted probability.

Simone Ferrari-Toniolo1, Leo Chi U Seak1, Wolfram Schultz1

  • 1Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK.

Cell Reports
|February 8, 2026
PubMed
Summary
This summary is machine-generated.

Dopamine neurons in monkeys represent subjective reward value by integrating utility and weighted probability, mirroring animal choices. This reveals how the brain computes value from core components like subjective probability.

Keywords:
CP: Neurosciencechoicedopamineeconomic axiomsrewardutilityweighted probability

More Related Videos

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.9K

Related Experiment Videos

Last Updated: Feb 10, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.5K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.4K
Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
14:21

Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking

Published on: August 6, 2013

18.9K

Area of Science:

  • Neuroscience
  • Decision Science
  • Behavioral Economics

Background:

  • Behavioral economics posits subjective reward value integrates utility and weighted probability.
  • Neuronal basis of this subjective value computation remains largely unknown.

Purpose of the Study:

  • Investigate if dopamine neuron signals represent subjective reward value.
  • Determine if these signals integrate utility and weighted probability.

Main Methods:

  • Recorded population-level dopamine neuron activity in monkeys during reward-based choices.
  • Analyzed dopamine signals in relation to utility and weighted probability components.

Main Results:

  • Dopamine signals reliably represent integrated subjective value, matching animal choice behavior.
  • Subjectively weighted probability significantly contributes to the dopamine signal for subjective value.

Conclusions:

  • Dopamine neurons implement subjective value computation by integrating utility and weighted probability.
  • Demonstrates a neuronal basis for how agents value uncertain rewards.