One position for a postdoctoral fellowship has been opened (see details below) in the context of the following project:
Title of the project
Multi-variate analysis of resting state activity and visually evoked response to natural stimuli to map the representation of information in intrinsic brain activity
Application deadline
13/07/2020 23:59 – Europe/Brussels
Abstract of the project
This project aims to understand whether multivariate spatial patterns of activity measured with fMRI evoked by natural visual stimuli (e.g. faces, bodies, etc.) or by movie stimuli are also represented in multi-variate spatial patterns of resting-state activity. Previous work from the PI lab has shown that in object selective category regions of visual cortex (e.g. FFA), resting state activity multi-vertex patterns correlate more strongly, and more frequently, with category selective multi-vertex evoked activity patterns for the specialized. category (e.g. faces) as compared to other categories (e.g. bodies). In this project, we plan to extend this analysis to the whole brain to other regions like the superior temporal gyrus and the posterior parietal cortex that code for these stimuli. In addition, we plan to test the same hypothesis in a set of movies where the semantic information has been coded frame-by-frame. These studies will test the hypothesis that spontaneous activity patterns do not represent only interregional interactions but also information states that cycle through cortex. Similar experiments could be run with hd-EEG
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