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Notas sobre un posible sistema de gestión de conocimiento basado en la metáfora cerebral donde:

Se introduce la variable tiempo el conocimiento no utilizado se olvida.
Cada nota / documento es una neurona.
El concepto carpeta cambia a ensamble neuronal.
Las neuronas (documentos) permanecen estables el 70% y el 30% es remplazado (olvido para generar plasticidad).
La activación, mediante un estímulo (puede ser acceso al documento o a otros cercanos), refuerza su estabilidad.
La agregación genera función y aunque una neurona cambie la función se mantiene.

ENSAMBLE NEURONAL

Un ensamble neuronal funciona como un grupo de neuronas que se coactivan de manera recurrente en el tiempo para representar información específica, como un estímulo visual o una decisión. A diferencia de una neurona individual, que puede tener una actividad variable, estos grupos actúan de forma conjunta y robusta, permitiendo que la red neuronal codifique con mayor precisión y mantenga patrones de activación estables durante varias semanas, lo que sugiere que son la base de la memoria a largo plazo.

La formación y funcionamiento de estos ensambles se rigen por el principio de que "las neuronas que se disparan juntas, sincronizadas, se conectan o refuerzan sus conexiones". En este proceso, se observa una dinámica de estabilidad y plasticidad donde aproximadamente el 70% de las neuronas en la corteza visual primaria se mantienen estables, mientras que el 30% restante se reemplazan diariamente; esta combinación permite preservar la memoria mientras se genera plasticidad para crear nuevas memorias o adaptarse a cambios.

Los ensambles neuronales operan mediante las siguientes características clave:

Coactividad: Las neuronas dentro de un ensamble se activan simultáneamente al recibir un estímulo, formando un patrón espacio-temporal que se repite y se refuerza. \n
Robustez: La red es capaz de mantener la función incluso si las neuronas individuales cambian, ya que el ensamble representa el estímulo en su conjunto y no depende de una sola célula. \n
Jerarquía y Recursividad: Los ensambles pueden organizarse en jerarquías de subrutinas que componen procedimientos más elaborados y funcionar como "programas" recursivos que regresan a estados iniciales tras una secuencia de actividad.

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