A neurocomputational model of visual working memory

Scientific-Disciplinary Group

11/PSIC-01 - General Psychology, Neuropsychology And Cognitive Neuroscience, Psychometrics

Description

The project aims to develop a computational and neurocognitive framework for explaining adaptive distractor suppression across behavioral and neural levels of analysis. Existing accounts of the relationship between visual attention and visual working memory have often been grounded in “slot” models, which assume that visual working memory consists of a fixed number of discrete storage units. However, accumulating evidence has challenged this view, giving rise to more flexible and powerful frameworks that conceptualize working memory as a dynamic resource supporting graded and adaptive representations. Building on these advances, the project will integrate computational modelling, hierarchical Bayesian approaches, and advanced neurophysiological analyses to formalize the mechanisms underlying the maintenance of visual information in working memory

Job posting website

https://www.dpss.unipd.it/newsbandi/termine/86

Number of positions

1

Maximum duration

24.0

Funding body

Università degli Studi di Padova

Selection process