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BayesianHumanCortex

Bayesian computations in the human neocortex: deciphering the neuronal mechanisms of perceptual and syntactic inferences.

Total Cost €

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EC-Contrib. €

0

Partnership

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 BayesianHumanCortex project word cloud

Explore the words cloud of the BayesianHumanCortex project. It provides you a very rough idea of what is the project "BayesianHumanCortex" about.

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Project "BayesianHumanCortex" data sheet

The following table provides information about the project.

Coordinator
STIFTUNG FRANKFURT INSTITUTE FOR ADVANCED STUDIES 

Organization address
address: RUTH MOUFANG STRASSE 1
city: FRANKFURT AM MAIN
postcode: 60438
website: n.a.

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 Germany [DE]
 Project website https://sites.google.com/site/jeanremiking/
 Total cost 257˙860 €
 EC max contribution 257˙860 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-GF
 Starting year 2015
 Duration (year-month-day) from 2015-08-01   to  2018-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STIFTUNG FRANKFURT INSTITUTE FOR ADVANCED STUDIES DE (FRANKFURT AM MAIN) coordinator 257˙860.00
2    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 0.00
3    NEW YORK UNIVERSITY US (NEW YORK) partner 0.00

Map

 Project objective

The diversity of human cognitive abilities contrasts with the homogeneity of its neural bases. Indeed, perception, decision and language processes largely rely on a common neuronal structure – the neocortex – whose functioning remains remarkably poorly understood. Recent theories suggest that the six layers of the neocortical microcircuit are specifically interconnected to perform generic computations, thanks to a Bayesian hierarchical combination of top-down expectations (priors) and bottom-up sensory information (likelihoods). However, recording each cortical layer is technically challenging. Mainly limited to animal electrophysiology, the rare empirical investigations of neocortical operations have been incapable of tackling human-specific cognitive abilities, such as syntax processing. Capitalizing on recent advances in human electrophysiology, I will address these challenges by testing whether the elements of Bayesian computations are implemented by 1) distinct cortical layers (e.g. priors in layers 5/6) or, alternatively, 2) distinct neuronal oscillations (e.g. priors in the alpha/beta band). I will then assess whether these neuronal computations form the elementary components of syntax processing. To characterize the exchange of information within and between cortical regions, I will combine whole-brain magnetoencephalography of with invasive electrocorticography and intra-laminar recordings, acquired from patients implanted for clinical purposes. This project, at the intersection of neuroscience, computational theory and linguistics will set the foundations for a mechanistic investigation of human cognition at an unprecedented level of detail, and will therefore allow me to start a competitive scientific career as an independent researcher. Ultimately, this innovative framework will help us understand the building blocks of human cognition, and the way neocortical dysfunctions lead to complex mental disorders such as schizophrenia.

 Publications

year authors and title journal last update
List of publications.
2019 King, J-R., Gwilliams, L., Holdgraf, C., Sassenhagen, J., Barachant, A., Engemann, D., Larson, E., Gramfort, A.
Encoding and Decoding Methods to Uncover the Algorithms of Cognition
published pages: , ISSN: , DOI:
The Cognitive Neurosciences VI 2019-06-18
2016 Jean-Rémi King, Niccolo Pescetelli, Stanislas Dehaene
Brain Mechanisms Underlying the Brief Maintenance of Seen and Unseen Sensory Information
published pages: 1122-1134, ISSN: 0896-6273, DOI: 10.1016/j.neuron.2016.10.051
Neuron 92/5 2019-06-18

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