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Restricciones neuronales en el aprendizaje.

Patrick T Sadtler1, Kristin M Quick1, Matthew D Golub2

  • 11] Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA [2] Center for the Neural Basis of Cognition, Pittsburgh, Pennsylvania 15213, USA [3] Systems Neuroscience Institute, University of Pittsburgh, Pittsburgh Pennsylvania 15261, USA.

Nature
|August 29, 2014
PubMed
Resumen
Este resumen es generado por máquina.

Las redes neuronales tienen estructuras intrínsecas que dan forma al aprendizaje. Los monos aprendieron tareas más fácilmente cuando la actividad neuronal se alineó con su cerebro.

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Área de la Ciencia:

  • La neurociencia es la neurociencia.
  • La neurociencia computacional es una neurociencia computacional.
  • El control del motor es el control del motor.

Sus antecedentes:

  • El aprendizaje de nuevas habilidades, motoras, sensoriales o cognitivas, implica redes neuronales que generan nuevos patrones de actividad.
  • La facilidad de aprender algunos comportamientos sugiere que ciertos patrones de actividad neuronal podrían ser más fáciles de generar que otros, potencialmente debido a las limitaciones de la red.

Objetivo del estudio:

  • Investigar si las estructuras de redes neuronales existentes limitan la generación de nuevos patrones de actividad neuronal.
  • Identificar los principios que rigen estas limitaciones y su impacto en el aprendizaje.

Principales métodos:

  • Utilizó un paradigma de aprendizaje de interfaz cerebro-computadora intracortical (BCI) de circuito cerrado con macacos rhesus.
  • Los monos controlaban un cursor de computadora mediante la modulación de la actividad neuronal en la corteza motora primaria, con el mapeo de la velocidad de la actividad neuronal al cursor manipulado por el BCI.

Principales resultados:

  • La actividad de la población neuronal reside naturalmente dentro de un subespacio de baja dimensión llamado variedad intrínseca, que refleja las restricciones de los circuitos de la red.
  • Los monos aprendieron fácilmente el control del cursor utilizando la actividad neuronal dentro de la variedad intrínseca.
  • El aprendizaje se vio afectado significativamente cuando se intentó utilizar patrones de actividad neuronal fuera de la variedad intrínseca.

Conclusiones:

  • La estructura intrínseca de las redes neuronales da forma y limita el aprendizaje.
  • Generar patrones de actividad neuronal inconsistentes con la estructura intrínseca de la red es difícil en escalas de tiempo cortas (horas).
  • Estos hallazgos proporcionan una explicación a nivel de red de por qué las habilidades relacionadas se aprenden más fácilmente.