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Assessment and Communication for People with Disorders of Consciousness

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Movimiento: Cómo se comunica el cerebro con el mundo

Andrew B Schwartz¹

¹Department of Neurobiology, School of Medicine, University of Pittsburgh, E1440 BSTWR, 200 Lothrop Street, Pittsburgh, PA 15213, USA.

|March 12, 2016

Resumen

El movimiento voluntario surge de las señales cerebrales que controlan los músculos, creando un bucle de retroalimentación con nuestro entorno. La comprensión de estos complejos procesos neuronales ayuda a la ingeniería, la robótica y las prótesis.

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Área de la Ciencia:

La neurociencia
La robótica
Biomecánica

Sus antecedentes:

El movimiento voluntario implica señales desde el cerebro a través del sistema nervioso a los músculos, creando un bucle de control con retroalimentación ambiental.
La intencionalidad, el deseo de cambiar el entorno, está codificado en estas señales neuronales.
Los modelos actuales de generación de movimiento se están refinando considerando la modulación de información externa.

Objetivo del estudio:

Discutir los fundamentos experimentales y teóricos de los modelos de generación de movimiento.
Explorar cómo la información externa modula el control del movimiento.
Resaltar el papel de la intencionalidad y la predicción en los sistemas de movimiento y la ingeniería.

Principales métodos:

Revisión de los datos experimentales y los marcos teóricos para el control motor.
Análisis de la transmisión de señales neuronales desde el cerebro a los músculos.
Examen de la retroalimentación sensorial en el cierre del circuito de control del motor.

Principales resultados:

Los sistemas de movimiento inherentemente poseen intencionalidad y capacidades predictivas.
La información externa modula significativamente la generación y ejecución de movimientos voluntarios.
Comprender las poblaciones neuronales involucradas en el movimiento es clave.

Conclusiones:

El desarrollo de modelos de movimiento sofisticados que incorporen la complejidad ambiental es crucial.
Los avances en la comprensión del control del movimiento pueden impulsar la innovación en sistemas autónomos y prótesis neuronales.
Esta investigación ofrece información sobre la regulación neuronal y las aplicaciones potenciales para el deterioro motor.