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General principles of representing space and time during automatic formation of visual and auditory chunks and objects

Project description

A closer look at the mechanisms of human sensory representation

Humans form complex internal representations from sensory stimuli, a process investigated through various approaches such as feature detection, categorisation and learning. However, these methods have often been studied separately. With the support of the Marie Skłodowska-Curie Actions programme, the GEPREST project will explore the unconscious mechanisms of pattern formation that work similarly across different complexities and sensory modalities, like vision and audition. By focusing on both space and time as dependent dimensions, the project tests simple to complex stimuli from pure tones to intricate patterns. Through behavioural and EEG measurements, GEPREST aims to build a hierarchical Bayesian model to provide deeper insights into human representation and its malfunctions in special populations.

Objective

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.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

CEU GMBH
Net EU contribution
€ 199 440,96
Address
QUELLENSTRASSE 51
1100 Wien
Austria
Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data