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General principles of representing space and time during automatic formation of...
General principles of representing space and time during automatic formation of visual and auditory chunks and objects The process by which humans formulate increasingly complex internal representations from sensory stimuli based on their available knowledge has been investigated traditionally by a somewhat disconnected set of approaches under var... The process by which humans formulate increasingly complex internal representations from sensory stimuli based on their available knowledge has been investigated traditionally by a somewhat disconnected set of approaches under various labels such as feature detection, grouping, figure-ground segregation, chunking, categorization and learning. We explore the idea that there might exist some general unconscious mechanisms of this pattern formation process that work similarly and repeatedly across different levels of complexity from basic segmentation to complex chunking-based learning and across different modalities. such as vision (typically viewed with spatial processing) and audition (associated with temporal processing). We will follow 4 principles in our work to test this. First, we will focus a) on the auditory and visual modalities, b) with space and time as the two dependent dimensions of comparison, and c) we will test the two endpoints of the complexity scale: at one end, pure tones in audition and single squares in vision easily treated by instantaneous perceptual biases and at the other end, complex time- and space-varying patterns requiring learning. Second, we will perform the equivalent version of each experiment in both modalities to check the generality of the mechanisms that establish the representations of the input. Third, we will use the same testing method across experiments, measuring behavioral sensitivity induced by the resulting representation to quantify the representation’s structure and its EEG correlates. Fourth, we will interpret our results by building a new hypothesis about humans’ internal representation into a Hierarchical Bayesian Model so that we can derive further individual- and population-specific predictions to inspire subsequent empirical work. Our integrated approach will contribute to a deeper understanding of the general principles of representation forming and its malfunctioning in special populations. ver más
30/06/2027
CEU PRIVATE UNIVER...
199K€
Perfil tecnológico estimado
Duración del proyecto: 38 meses Fecha Inicio: 2024-04-10
Fecha Fin: 2027-06-30

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-04-10
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
HORIZON-MSCA-2023-PF-01-01: MSCA Postdoctoral Fellowships 2023
Cerrada hace 1 año
Presupuesto El presupuesto total del proyecto asciende a 199K€
Líder del proyecto
CEU GMBH No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5