Explore the words cloud of the MULTICONNECT project. It provides you a very rough idea of what is the project "MULTICONNECT" about.
The following table provides information about the project.
Coordinator |
UNIVERSITEIT MAASTRICHT
Organization address contact info |
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.
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1 | UNIVERSITEIT MAASTRICHT | NL (MAASTRICHT) | coordinator | 1˙500˙000.00 |
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 |
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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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