Descripción del proyecto DEENESFRITPL Descodificación de señales de valor en el encéfalo humano El encéfalo humano toma continuamente decisiones complejas al elegir entre vías de acción alternativas. Una hipótesis principal es que el encéfalo describe la importancia motivacional de las posibilidades de elección mediante señales de valor. Con todo, se desconoce cómo el cerebro calcula dichos valores para posibilidades multidimensionales y cómo puede adaptarlos a contextos diferentes. El proyecto financiado con fondos europeos COVADIS constituye un esfuerzo interdisciplinar dirigido a descifrar el código neural del valor mediante la combinación de métodos de neurociencia cognitiva, la modelización computacional y la psicofísica conductual. Los investigadores elaborarán un diseño experimental para estudiar las señales de valor y presentarán los resultados en un informe exhaustivo sobre un modelo biológicamente plausible de los cálculos encefálicos que subyacen al procesamiento de valores. Mostrar el objetivo del proyecto Ocultar el objetivo del proyecto Objetivo Humans routinely make complex decisions between alternative courses of action. How our brains enable us to do this is a fundamental question in neuroscience. A central hypothesis is that the brain represents the motivational relevance of the choice options by means of value signals. However, it has remained elusive how the brain computes such values for multi-dimensional options and how it flexibly adapts them to different contexts.This lack of knowledge has strong implications for society, since it prevents us from adequately treating psychiatric behavioral control disorders that affect the lives of millions worldwide, and since it hampers the rapidly growing artificial-intelligence industry trying to develop agents that are truly capable of autonomous value-based decisions.This groundbreaking, interdisciplinary action will take an important step towards deciphering the neural code for value through the combined use of methods from cognitive neuroscience, computational modelling, and behavioral psychophysics. Specifically, I will create an experimental setup for the study of value signals, reveal the computational and biological principles of the neural code for value, and synthetize the results into a comprehensive report on a biologically plausible model of the brain computations underlying value processing.My training in decision-making, neuroimaging, and computational modelling make me the ideal person for this action. The state-of-the-art and interdisciplinary research facilities of the Zürich center for Neuroeconomics at the University of Zürich make it the ideal host institution. At this pioneering lab, I will be trained in cutting-edge decoding methods for neuroimaging, non-invasive brain stimulation, statistical and computational skills, and in communicating the results of this interdisciplinary work. This will boost my ability to lead my own laboratory as an independent researcher in clinical and decision neuroscience. Ámbito científico natural sciencesbiological sciencesneurobiologycognitive neuroscience Palabras clave Decision-making Choices Value Population code Computational model Non-invasive Brain Stimulation Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2019 - Individual Fellowships Convocatoria de propuestas H2020-MSCA-IF-2019 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF) Coordinador UNIVERSITAT ZURICH Aportación neta de la UEn € 203 149,44 Dirección RAMISTRASSE 71 8006 Zurich Suiza Ver en el mapa Región Schweiz/Suisse/Svizzera Zürich Zürich Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 203 149,44
