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Modelo de Ising integrado con inhibición global para la toma de decisiones

Olga Tapinova1, Tal Finkelman1, Tamar Reitich-Stolero2

  • 1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 76100, Israel.

Proceedings of the National Academy of Sciences of the United States of America
|September 5, 2025
PubMed
Resumen

Este estudio introduce un nuevo modelo de toma de decisiones tipo Ising, que incorpora la inhibición global para mejorar la precisión en tareas difíciles. El modelo sugiere que el cerebro opera cerca de una transición crítica para un rendimiento de decisión óptimo.

Palabras clave:
La toma de decisionesEl modelo de Isingmodelo de deriva y difusión (DDM)inhibición global

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Área de la Ciencia:

  • Neurociencia computacional
  • Modelos para la toma de decisiones
  • El comportamiento de los animales

Sus antecedentes:

  • El modelo de deriva-difusión es un marco primario para la toma de decisiones, pero los hallazgos recientes desafían su poder explicativo.
  • Se observa un aumento del tono inhibitorio durante las tareas de discriminación difíciles, sin embargo, su origen neuronal sigue sin estar claro.
  • Los modelos existentes no capturan completamente las complejidades de la toma de decisiones en el mundo real, especialmente en lo que respecta a la inhibición.

Objetivo del estudio:

  • Extender los modelos de toma de decisiones direccionales existentes mediante la incorporación de la inhibición global.
  • Desarrollar un modelo integrado tipo Ising para la toma de decisiones con dos opciones.
  • Explicar cómo la inhibición neuronal puede mejorar la precisión de la toma de decisiones y explorar el régimen operativo del cerebro.

Principales métodos:

  • Desarrolló un modelo de tipo Ising integrado que incorpora la inhibición global para tareas de decisión de dos opciones.
  • Extendió un modelo recientemente desarrollado para la toma de decisiones direccionales en animales que se mueven en el espacio real.
  • Se compararon las predicciones del modelo con los resultados experimentales para validar el mecanismo propuesto.

Principales resultados:

  • El modelo de tipo Ising propuesto explica con éxito cómo la inhibición global puede mejorar la precisión de la toma de decisiones.
  • Las simulaciones de modelos sugieren que la actividad de toma de decisiones del cerebro opera cerca de una transición crítica entre las fases ordenadas y desordenadas.
  • Esta proximidad a una región crítica exhibe una dinámica única beneficiosa para los procesos de decisión.

Conclusiones:

  • El modelo integrado de tipo Ising proporciona un nuevo marco para comprender el papel de la inhibición en la toma de decisiones.
  • El funcionamiento del cerebro cerca de un punto de transición crítico ofrece ventajas computacionales para maximizar la recompensa y minimizar el costo.
  • Esta investigación arroja luz sobre los mecanismos neuronales que subyacen a la toma de decisiones eficiente en entornos complejos.