NeuroLang SIGNED
Accelerating Neuroscience Research by Unifying Knowledge Representation and Analysis Through a Domain Specific Language
Total Cost €
0EC-Contrib. €
0Partnership
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0NeuroLang project word cloud
Explore the words cloud of the NeuroLang project. It provides you a very rough idea of what is the project "NeuroLang" about.
Project "NeuroLang" data sheet
The following table provides information about the project.
| Coordinator |
INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Organization address contact info |
| Coordinator Country | France [FR] |
| Total cost | 1˙497˙045 € |
| EC max contribution | 1˙497˙045 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2017-STG |
| Funding Scheme | ERC-STG |
| Starting year | 2018 |
| Duration (year-month-day) | from 2018-03-01 to 2023-02-28 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE | FR (LE CHESNAY CEDEX) | coordinator | 1˙497˙045.00 |
Map
Project objective
Neuroscience is at an inflection point. The 150-year old cortical specialization paradigm, in which cortical brain areas have a distinct set of functions, is experiencing an unprecedented momentum with over 1000 articles being published every year. However, this paradigm is reaching its limits. Recent studies show that current approaches to atlas brain areas, like relative location, cellular population type, or connectivity, are not enough on their own to characterize a cortical area and its function unequivocally. This hinders the reproducibility and advancement of neuroscience.
Neuroscience is thus in dire need of a universal standard to specify neuroanatomy and function: a novel formal language allowing neuroscientists to simultaneously specify tissue characteristics, relative location, known function and connectional topology for the unequivocal identification of a given brain region.
The vision of NeuroLang is that a unified formal language for neuroanatomy will boost our understanding of the brain. By defining brain regions, networks, and cognitive tasks through a set of formal criteria, researchers will be able to synthesize and integrate data within and across diverse studies. NeuroLang will accelerate the development of neuroscience by providing a way to evaluate anatomical specificity, test current theories, and develop new hypotheses.
NeuroLang will lead to a new generation of computational tools for neuroscience research. In doing so, we will be shedding a novel light onto neurological research and possibly disease treatment and palliative care. Our project complements current developments in large multimodal studies across different databases. This project will bring the power of Domain Specific Languages to neuroscience research, driving the field towards a new paradigm articulating classical neuroanatomy with current statistical and machine learning-based approaches.
Deliverables
| Data Management Plan | Open Research Data Pilot | 2019-03-20 15:37:00 |
Take a look to the deliverables list in detail: detailed list of NeuroLang deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2019 |
Antonia Machlouzarides-Shalit, Valentin Iovene, Nikos Makris, Demian Wassermann A Novel Sulcal Hierarchy Based on Manually Labelled Sulci published pages: , ISSN: , DOI: |
Organization for Human Brain Mapping Yearly | 2019-11-08 |
| 2019 |
Lang Chen, Demian Wassermann , Daniel Abrams , John Kochalka , Guillermo Gallardo-Diez , Vinod Menon The visual word form area (VWFA) is part of both language and attention circuitry published pages: , ISSN: 2041-1723, DOI: |
Nature Communications | 2019-11-08 |
| 2019 |
Wassermann , Demian; Nguyen , Dang Van; Gallardo , Guillermo; Li , Jing-Rebecca; Cai , Weidong; Menon , Vinod Sensing Von Economo Neurons in the Insula with Multi-shell Diffusion MRI published pages: , ISSN: , DOI: |
International Society for Magnetic Resonance in Medicine 1 | 2019-11-08 |
| 2019 |
Vinod Menon, Gallardo Guillermo, Mark A. Pinsk, Van-Dang Nguyen, Jing-Rebecca Li, Weidong Cai, Demian Wassermann Quantitative modeling links in vivo microstructural and macrofunctional organization of human and macaque insular cortex, and predicts cognitive control abilities published pages: , ISSN: , DOI: 10.1101/662601 |
2019-11-08 | |
| 2018 |
Valerie J. Sydnor, Ana MarÃa Rivas-Grajales, Amanda E. Lyall, Fan Zhang, Sylvain Bouix, Sarina Karmacharya, Martha E. Shenton, Carl-Fredrik Westin, Nikos Makris, Demian Wassermann, Lauren J. O\'Donnell, Marek Kubicki A comparison of three fiber tract delineation methods and their impact on white matter analysis published pages: 318-331, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.05.044 |
NeuroImage 178 | 2019-04-18 |
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The information about "NEUROLANG" are provided by the European Opendata Portal: CORDIS opendata.