Opendata, web and dolomites

JAL SIGNED

Uncovering the Behavioural and Neural Correlates of Joint Action Learning

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "JAL" data sheet

The following table provides information about the project.

Coordinator
KOZEP-EUROPAI EGYETEM 

Organization address
address: NADOR UTCA 9
city: BUDAPEST
postcode: 1051
website: www.ceu.hu

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 Hungary [HU]
 Total cost 139˙850 €
 EC max contribution 139˙850 € (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 2020-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KOZEP-EUROPAI EGYETEM HU (BUDAPEST) coordinator 139˙850.00

Map

 Project objective

The ability to perform joint (multi-person) actions such as ensemble music performance confers numerous benefits, from generating unique aesthetic experiences to enhancing affiliation with one’s co-actors. Co-actors must be able to accurately predict when one another’s actions will occur so that they can time their own actions accordingly. One question facing the field of social neuroscience is how co-actors learn to make accurate predictions about one another’s actions. The current project, JAL, launches one of the first systematic investigations of joint action learning to address this question on the levels of both brain and behaviour. The project will implement a series of empirical studies in which partners learn novel joint turn-taking tasks while electroencephalography (EEG) is simultaneously measured from both partners: Turn-taking tasks are optimal for measuring prediction processes because partners must be able to accurately predict when one another’s turns will end so that they can seamlessly alternate actions. Learning conditions will be manipulated across studies to address three primary questions: 1) Is there an identifiable neural marker of how well partners learn to predict one another’s actions? 2) Do partners learn to generate stronger predictions about actions that serve as relevant cues for interpersonal coordination relative to actions that do not? 3) Can partners acquire the ability to predict one another's actions in a task-general manner? Outcomes from these studies will provide novel insights into how humans learn to coordinate actions with one another and will pioneer methods of simultaneously measuring behavioural and neural activity from multiple individuals during action learning. The knowledge gained from this project will be critical not only for improving methods of teaching joint action but also for developing interventions for individuals with deficits in social motor coordination.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "JAL" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

RESTRICTIONAPP (2019)

A multilinear approach to the restriction problem with applications to geometric measure theory, the Schrödinger equation and inverse problems

Read More  

NPsVLCD (2019)

Natural Product-Inspired Therapies for Leishmaniasis and Chagas Disease

Read More  

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More