Multimodal neuroimaging of mechanisms supporting memory-based predictions in the human brain

Project Information

PREDICTIVEMEMORY

Grant agreement ID: 654534

DOI 10.3030/654534

Project terminated on 9 July 2015

EC signature date 25 March 2015

Start date 1 June 2015

End date 31 May 2016

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 91 254,60

EU contribution € 91 254,60

Coordinated by

BAR ILAN UNIVERSITY
Israel

Objective

The human brain is constantly and automatically forming predictions (e.g. how a ball will bounce off soccer turf or what another person will say). In cognitive neuroimaging studies of Dr. Jääskeläinen (Experienced Researcher) and colleagues at Aalto University, Finland, it has become one of the most central research questions how the brain predicts complex dynamic events unfolding in naturalistic stimuli such as movies. Here, our main objective is that Dr. Jääskeläinen will acquire the specific expertise to address this question by working for one year in Gonda Multidisciplinary Brain Research Center of Bar-Ilan University, Tel Aviv, Israel, where there is unique empirical-theoretical expertise on predictive brain mechanisms. Work by the Director of Gonda Center, Prof. Moshe Bar (Supervisor), suggests that rapid derivation of analogies (“what does this object resemble”) from sensory inputs and associative linking of these to memory representations supports predictions (e.g. seeing a kettle predicts cooking rather than swimming activity). We hypothesize that distributed patterns of brain activity, generated by the associative process, underlie the memory representations that support predictions. To test this, experimental paradigms developed by Prof. Bar et al. will be combined with data analysis methods used by Dr. Jääskeläinen et al. In addition to ambitious science, the proposed fellowship has the following objectives: 1) significant deepening and diversification of Dr. Jääskeläinen’s cognitive neuroscience expertise at Gonda Center, 2) transfer of data analysis and cognitive neuroscience expertise of Dr. Jääskeläinen to Gonda Center, 3) networking of scientists between Bar-Ilan and Aalto for further collaboration, 4) opening up of a new important research area, and 5) catalyzing of Dr. Jääskeläinen’s scientific career. The fellowship also contributes to knowledge-based economy and society by building foundation for artificial intelligence and clinical research.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

• natural sciences › computer and information sciences › artificial intelligence
• natural sciences › computer and information sciences › data science
• natural sciences › biological sciences › neurobiology › cognitive neuroscience
• humanities › arts › modern and contemporary art › cinematography

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Keywords

• Memory-based predictions
• functional magnetic resonance imaging
• magnetoencephalography
• distributed representations
• multi-voxel pattern analysis
• phase-synchrony
• functional connectivity

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF)

Call for proposal

H2020-MSCA-IF-2014

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

BAR ILAN UNIVERSITY

• Net EU contribution: € 91 254,60
• Address: BAR ILAN UNIVERSITY CAMPUS ; 52900 Ramat Gan ; Israel
• Activity type: Higher or Secondary Education Establishments
• Total cost: € 91 254,60