Topic: neural encoding

Recent insights from auditory neuroscience provide a new perspective on how the brain encodes speech. Using these recent insights, I will provide an overview of key factors underpinning individual differences in children’s development of language and phonology, providing a context for exploring atypical reading development (dyslexia). Children with dyslexia are relatively insensitive to acoustic cues related to speech rhythm patterns. This lack of rhythmic sensitivity is related to the atypical neural encoding of rhythm patterns in speech by the brain. I will describe our recent data from infa

Human olfactory perception is understudied in the whole spectrum of neuroscience, from computational to system neuroscience. In this study, we explore the hierarchy underlying human olfactory perception by embedding perceptual data in the hyperbolic space. Previous research emphasizes the significance of hyperbolic geometry in gaining insights into the neural encoding of natural odorants. This is due to the exponential growth of the hyperbolic space, that makes it appropriate to encode hierarchical data. We employ a contrastive learning approach over the Poincare ball in order to embed olfacto

The sensory content and temporal structure of stimuli consistently bias the percept of duration. Previous studies revealed that intervals filled with continuous sensory input are perceived as longer compared to stimuli only marked at their onset and offset, a phenomenon referred to as 'filled duration illusion'. It remains unclear whether these distinct stimulus formats are measured by a common timing mechanism. In our study, we aimed to examine potential differences in the EEG correlates of temporal processing for filled, flanked and empty stimuli. We tested participants in a temporal reprodu