Descrizione del progetto
In che modo il nostro cervello genera previsioni di dinamiche in corso
Il cervello umano è in grado di elaborare rapidamente le informazioni; tuttavia, riesce a destreggiarsi in presenza di un flusso di dati dinamici? Occorre tempo per trasmettere ed elaborare le informazioni lungo la gerarchia dell’apparato visivo. Se da un lato le teorie dell’elaborazione predittiva presuppongono una rappresentazione interna dei futuri stati esterni, dall’altro la natura rappresentativa delle previsioni rimane in gran parte inesplorata. Grazie al sostegno del programma di azioni Marie Skłodowska-Curie, il progetto PredictiveBrain esaminerà le ricche dinamiche dell’elaborazione predittiva in termini di rappresentazioni neurali.
Obiettivo
To successfully navigate our dynamic environment, our brain needs to continuously update its representation of external information. This poses a fundamental problem: how does the brain cope with a stream of dynamic input? It takes time to transmit and process information along the hierarchy of the visual system. Our capacity to interact with dynamic stimuli in a timely manner (e.g. catch a ball) suggests that our brain generates predictions of unfolding dynamics. While predictive processing theories assume an internal representation of future external states, empirical research typically employs neural measures that capture an indirect consequence of prediction. The representational nature of predictions remains largely unexplored. One approach for investigating neural representations is representational similarity analysis (RSA), which typically uses models of static stimulus features at different hierarchical levels of complexity (e.g. color, shape, category, concept) to investigate how these features are represented in the brain. I have recently developed a novel dynamic extension to RSA that uses temporally variable models to capture neural representations of dynamic stimuli. A proof-of-concept MEG study unveiled predictive neural representations of naturalistic dynamic input. These promising initial results open the door for addressing important outstanding questions on how our brain represents and predicts the dynamics of the world.
In this project I aim to answer these questions. I will execute the project at the prestigious Donders Institute in the lab of Floris de Lange, a leading expert in the field of predictive processing. The proposed project is unique as it tackles the rich dynamics of predictive processing in terms of neural representations. It will allow me to conduct creative, original and important research, which will propel my scientific career, and strengthen my competitiveness as a scientist.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
MSCA-PF - MSCA-PFCoordinatore
6525 XZ Nijmegen
Paesi Bassi