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Decision Making

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.
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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...

Decision Making: Traditional Method

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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.
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Decodificación y perturbación de los estados de decisión en tiempo real

Diogo Peixoto^1,2,3, Jessica R Verhein^4,5,6, Roozbeh Kiani⁷

¹Neurobiology Department, Stanford University, Stanford, CA, USA. dpeixoto@stanford.edu.

|January 21, 2021

Resumen

Este resumen es generado por máquina.

Las fluctuaciones de la actividad neuronal (DV) en los macacos predicen las elecciones en tiempo real, ofreciendo nuevos conocimientos sobre los procesos de toma de decisiones y los cambios de mentalidad.

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Área de la Ciencia:

La neurociencia
Ciencias cognitivas
La toma de decisiones

Sus antecedentes:

Los sujetos integran múltiples muestras de señales para juicios categóricos.
Las variables de decisión (DV) de la actividad neuronal predicen las elecciones, pero las fluctuaciones dentro del ensayo son poco conocidas.

Objetivo del estudio:

Investigar la importancia conductual de las fluctuaciones de las variables de decisión dentro del ensayo.
Examine la relación entre la actividad neuronal, los estados de decisión y las elecciones de comportamiento en tiempo real.

Principales métodos:

Utilizó el control de retroalimentación neuronal en tiempo real de la duración del estímulo en macacos.
Variables de decisión decodificadas de la actividad neuronal de la corteza motora.
Se aplicaron pulsos de estímulo débil para sondear la dinámica de la decisión en ensayos individuales.

Principales resultados:

Las fluctuaciones de DV dentro del ensayo de la corteza motora predijeron fuertemente las elecciones de comportamiento.
Las fluctuaciones de la DV fueron más predictivas que la DV promediada por la condición o el estímulo visual solo.
Los cambios observados en el signo DV son consistentes con los "cambios mentales" conductuales.

Conclusiones:

Las fluctuaciones neuronales dentro del ensayo son críticas para predecir decisiones en entornos dinámicos.
Demostraron límites de decisión variables en el tiempo, diferenciando entre modelos de toma de decisiones.
Proporciona un nuevo método para investigar la dinámica de las decisiones de un solo juicio.