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From instructions to actions: characterizing the spatiotemporal neural signatures of instructions following.

Total Cost €


EC-Contrib. €






Project "InstrAct" data sheet

The following table provides information about the project.


Organization address
city: GENT
postcode: 9000

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 166˙320 €
 EC max contribution 166˙320 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2021-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT GENT BE (GENT) coordinator 166˙320.00


 Project objective

From air traffic control to large surgery teams, some of the most advanced human collaborative achievements largely rely on our ability to successfully give and follow instructions. Given the combination of novelty, speed, complexity and efficiency, significant effort has been devoted to characterize the mechanisms underlying this ability. However, how the human brain rapidly (i.e. in a matter of seconds) transforms the content of instructions into actions is still poorly understood. This project aims at providing a fundamental description of this transformation by combining recently developed behavioral paradigms and cutting edge methodological and analytical tools. This combination is expected to result in a significant step forward in the understanding of instructions following, compared to the state-of-the-art. This project is especially timely given its relevance to ongoing debates in cognitive neuroscience regarding the structure of cognitive control and working memory systems. InstrAct will also be highly relevant to other disciplines such as robotics and artificial intelligence, which could benefit from the outcomes of this project to implement human-like, complex collaborative artificial systems, a crucial milestone in these fields. The success of this proposal relies on the combination of my expertise on multivariate analysis of neuroimaging data with the strong theoretical guidance offered by Dr. Brass’ team at the Faculty of Psychology and Educational Sciences, Ghent University, a critical hub for cognitive control and instructions following in particular. The expected outcome of this project will, first, enhance the role of Ghent University and Europe as a hub for excellent research on instruction following. Second, it will be a boost in crucial aspects of my career, specifically, in the acquisition of new methodological and theoretical competences, allowing me to achieve my long-term goal of becoming an independent researcher.

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The information about "INSTRACT" are provided by the European Opendata Portal: CORDIS opendata.

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