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Imaging Brain Circuits to Decode Brain Computations: Multimodal Multiscale Imaging of Cortical Microcircuits to Model Predictive Coding in Human Vision

Total Cost €


EC-Contrib. €






Project "MULTICONNECT" data sheet

The following table provides information about the project.


Organization address
address: Minderbroedersberg 4-6
postcode: 6200 MD

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 Netherlands [NL]
 Total cost 1˙500˙000 €
 EC max contribution 1˙500˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-06-01   to  2020-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) coordinator 1˙500˙000.00


 Project objective

The human brain is one of the largest and most complex biological networks known to exist. The architecture of its circuits, and therefore the computational basis of human cognition, remains largely unknown. The central aim of this proposal is to image human cortical connectivity at multiple spatial scales in order to understand human cortical computations. Whereas canonical cortical microcircuits are an established theory of the repeating structure of the neocortex’s circuits, predictive coding provides a prominent proposal of what these circuits compute. This leads to the core hypothesis of this proposal: the variations in predictive coding computations performed by human cortical microcircuits in different visual areas are grounded in variations in their microcircuit connectivity. As a central case-study, this proposal investigates human visual apparent motion perception in V1/2/3 and V5/MT. The proposed research program is organized in two workpackages (WP I and II). WP I has the aim of imaging the multiscale connections of human neocortical microcircuits. The projects in WP I focus on structure and move from the mesoscale down to the microscale. WP II has the aim of modelling how microcircuits support predictive coding computations. The projects in WP II focus on function and move from the microscale back up to the mesoscale. Structural and functional assessment of microcircuitry in the human brain only recently became possible with the development of magnetic resonance imaging (MRI) at ultra-high field-strengths (UHF) of 7T and above. UHF diffusion MRI, combined with light microscopy, is used to image circuit structure in WP I. UHF functional MRI is used for computational modelling of computations in WP II. Successful completion of the planned research will significantly advance our understanding of the computations in cortical microcircuits, deliver important new human connectomic reference data, and improve generative models of human cortical processing.


year authors and title journal last update
List of publications.
2019 F.J. Fritz, S. Sengupta, R.L. Harms, D.H. Tse, B.A. Poser, A. Roebroeck
Ultra-high resolution and multi-shell diffusion MRI of intact ex vivo human brains using kT-dSTEAM at 9.4T
published pages: 116087, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.116087
NeuroImage 202 2020-02-05
2018 Robbert L. Harms, Alard Roebroeck
Robust and Fast Markov Chain Monte Carlo Sampling of Diffusion MRI Microstructure Models
published pages: , ISSN: 1662-5196, DOI: 10.3389/fninf.2018.00097
Frontiers in Neuroinformatics 12 2020-02-05
2017 Martin Havlicek, Dimo Ivanov, Alard Roebroeck, Kamil UludaÄŸ
Determining Excitatory and Inhibitory Neuronal Activity from Multimodal fMRI Data Using a Generative Hemodynamic Model
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2017.00616
Frontiers in Neuroscience 11 2019-05-29
2016 Silvia De Santis, Derek K. Jones, Alard Roebroeck
Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter
published pages: 91-103, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.01.047
NeuroImage 130 2019-05-29
2017 Martin Havlicek, Alard Roebroeck, Karl J. Friston, Anna Gardumi, Dimo Ivanov, Kamil Uludag
On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data
published pages: 217-233, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.03.017
NeuroImage 155 2019-05-29
2018 Roebroeck, Alard; Galuske, Ralf; Herrler, Andreas; Schueth, Anna; Hildebrand, Sven
Scalable cytoarchitectonic characterization of large intact human neocortex samples
published pages: , ISSN: , DOI: 10.1101/274985
1 2019-05-29
2016 Silvia De Santis, Yaniv Assaf, Ben Jeurissen, Derek K Jones, Alard Roebroeck
T1 relaxometry of crossing fibres in the human brain
published pages: 133-142, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2016.07.037
NeuroImage 141 2019-05-29
2016 Birgit R. Plantinga, Alard Roebroeck, Valentin G. Kemper, Kâmil Uludağ, Maartje Melse, Jürgen Mai, Mark L. Kuijf, Andreas Herrler, Ali Jahanshahi, Bart M. ter Haar Romeny, Yasin Temel
Ultra-High Field MRI Post Mortem Structural Connectivity of the Human Subthalamic Nucleus, Substantia Nigra, and Globus Pallidus
published pages: , ISSN: 1662-5129, DOI: 10.3389/fnana.2016.00066
Frontiers in Neuroanatomy 10 2019-05-29
2017 R.L. Harms, F.J. Fritz, A. Tobisch, R. Goebel, A. Roebroeck
Robust and fast nonlinear optimization of diffusion MRI microstructure models
published pages: 82-96, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.04.064
NeuroImage 155 2019-05-29
2016 Shubharthi Sengupta, Alard Roebroeck, Valentin G. Kemper, Benedikt A. Poser, Jan Zimmermann, Rainer Goebel, Gregor Adriany
A Specialized Multi-Transmit Head Coil for High Resolution fMRI of the Human Visual Cortex at 7T
published pages: e0165418, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0165418
PLOS ONE 11/12 2019-05-29
2016 Matteo Bastiani, Ana-Maria Oros-Peusquens, Arne Seehaus, Daniel Brenner, Klaus Möllenhoff, Avdo Celik, Jörg Felder, Hansjürgen Bratzke, Nadim J. Shah, Ralf Galuske, Rainer Goebel, Alard Roebroeck
Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2016.00487
Frontiers in Neuroscience 10 2019-05-29

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