Descripción del proyecto
Interpretación de las instrucciones que llegan al encéfalo
La forma en que el encéfalo interpreta las instrucciones y las convierte en acciones físicas es un proceso complejo del que se sabe muy poco. El proyecto InstrAct, financiado con fondos europeos, tiene por objeto proporcionar una descripción básica de la transformación de información que se da durante este proceso mediante la combinación paradigmas conductuales, una metodología de vanguardia y herramientas analíticas desarrolladas recientemente. La importancia del programa de investigación es oportuna, ya que en el campo de la neurociencia abundan los debates sobre la estructura de los sistemas de control cognitivo y de memoria de trabajo. Además, el proyecto InstrAct propiciará avances en otras disciplinas, como la robótica y la inteligencia artificial, que pueden contribuir a desarrollar complejos sistemas colaborativos artificiales parecidos a los humanos.
Objetivo
From air traffic control to large surgery teams, some of the most advanced human collaborative achievements largely rely on our ability to successfully give and follow instructions. Given the combination of novelty, speed, complexity and efficiency, significant effort has been devoted to characterize the mechanisms underlying this ability. However, how the human brain rapidly (i.e. in a matter of seconds) transforms the content of instructions into actions is still poorly understood. This project aims at providing a fundamental description of this transformation by combining recently developed behavioral paradigms and cutting edge methodological and analytical tools. This combination is expected to result in a significant step forward in the understanding of instructions following, compared to the state-of-the-art.
This project is especially timely given its relevance to ongoing debates in cognitive neuroscience regarding the structure of cognitive control and working memory systems. InstrAct will also be highly relevant to other disciplines such as robotics and artificial intelligence, which could benefit from the outcomes of this project to implement human-like, complex collaborative artificial systems, a crucial milestone in these fields.
The success of this proposal relies on the combination of my expertise on multivariate analysis of neuroimaging data with the strong theoretical guidance offered by Dr. Brass’ team at the Faculty of Psychology and Educational Sciences, Ghent University, a critical hub for cognitive control and instructions following in particular. The expected outcome of this project will, first, enhance the role of Ghent University and Europe as a hub for excellent research on instruction following. Second, it will be a boost in crucial aspects of my career, specifically, in the acquisition of new methodological and theoretical competences, allowing me to achieve my long-term goal of becoming an independent researcher.
Ámbito científico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- social scienceseducational sciences
- medical and health sciencesclinical medicinesurgery
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Palabras clave
Programa(s)
Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
9000 Gent
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