Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

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

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
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

Video Experimental Relacionado

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

Codificación dopaminérgica completa del valor subjetivo económico básico: utilidad y probabilidad ponderada

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
Resumen

Las neuronas dopaminérgicas en monos representan el valor subjetivo de la recompensa integrando la utilidad y la probabilidad ponderada, reflejando las elecciones de los animales. Esto revela cómo el cerebro calcula el valor a partir de componentes básicos como la probabilidad subjetiva.

Palabras clave:
Neurocienciaeleccióndopaminaaxiomas económicosrecompensautilidadprobabilidad ponderada

Más Videos Relacionados

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

Videos de Experimentos Relacionados

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

Área de la Ciencia:

  • Neurociencia
  • Ciencia de la Decisión
  • Economía Conductual

Sus antecedentes:

  • La economía conductual postula que el valor subjetivo de la recompensa integra la utilidad y la probabilidad ponderada.
  • La base neuronal de esta computación del valor subjetivo sigue siendo en gran medida desconocida.

Objetivo del estudio:

  • Investigar si las señales de las neuronas dopaminérgicas representan el valor subjetivo de la recompensa.
  • Determinar si estas señales integran la utilidad y la probabilidad ponderada.

Principales métodos:

  • Se registró la actividad de las neuronas dopaminérgicas a nivel de población en monos durante elecciones basadas en recompensas.
  • Se analizaron las señales de dopamina en relación con los componentes de utilidad y probabilidad ponderada.

Principales resultados:

  • Las señales de dopamina representan de manera confiable el valor subjetivo integrado, coincidiendo con el comportamiento de elección del animal.
  • La probabilidad subjetivamente ponderada contribuye significativamente a la señal de dopamina para el valor subjetivo.

Conclusiones:

  • Las neuronas dopaminérgicas implementan el cálculo del valor subjetivo integrando la utilidad y la probabilidad ponderada.
  • Demuestra una base neuronal de cómo los agentes valoran las recompensas inciertas.