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

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.