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TYPEWIRE SIGNED

Reconstructing wiring rules of in vivo neural networks using simultaneous single-cell connectomics and transcriptomics

Total Cost €

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EC-Contrib. €

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Partnership

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 TYPEWIRE project word cloud

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

network    tens    single    topology    artificial    specialized    neuroscience    blocks    synaptic    partial    taxonomies    encode    expression    re    highlights    core    networks    reveal    molecular    principles    neural    cellular    thousands    functional    true    neuronal    function    systematically    combine    global    cells    practically    space    resolve    systematic    fragmented    combinations    neurons    conceptual    cell    behaviours    assemble    transcriptomics    diversity    nervous    performs    brain    transcriptome    implementations    resolution    computational    vision    gene    rules    sophisticated    purpose    unlimited    connectomics    unprecedented    obtain    inspired    organizational    conceivable    intelligence    types    datapoints    vivo    orchestrated    extraordinary    distinguish    enormous    relation    connectivity    circuits    critical    rnaseq    answering    form    computation    functions    basic    little    connections    building    expand    wiring    picture    repertoire    questions   

Project "TYPEWIRE" data sheet

The following table provides information about the project.

Coordinator
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

Organization address
address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000
website: www.technion.ac.il

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 Israel [IL]
 Total cost 1˙590˙000 €
 EC max contribution 1˙590˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2024-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) coordinator 1˙590˙000.00

Map

 Project objective

The brain performs sophisticated functions and complex behaviours, orchestrated by highly specialized cells. Neurons are at the core of the nervous system’s computational capabilities. In recent years, we and others have advanced single-cell RNAseq to reveal their extraordinary molecular diversity in transcriptome-based cell-type taxonomies. It is the unique combinations of circuits that these different neuronal types form – within a practically unlimited space of possible implementations – that encode the large functional repertoire of the nervous system. Although critical, little is known about the basic organizational principles of cells within the circuits – the ‘wiring rules’. This highlights the conceptual challenge to measure connectivity on a systematic and synaptic, single-cell level. What is the topology of networks? What is the relation between network topology and function? How do cell types and gene expression determine wiring? Answering these questions will help resolve nervous system computation at the level of its cellular building blocks. The vision of this proposal is to provide and apply a novel approach that will allow us to investigate neuronal connectivity at large-scale. Two key requirements for such measurements are the ability to measure true synaptic connections, and obtain tens of thousands of datapoints. Further, the concept of cell types is crucial for addressing the connectivity problem, as it allows us to distinguish the network elements and thus assemble a global picture even from fragmented, partial measurements. For this purpose, we will combine transcriptomics and connectomics measurements at the single cell level. The proposed project has enormous potential to systematically (re)address basic functional questions in neuroscience. It can expand our understanding of neural circuits to an unprecedented resolution, with conceivable impact on computational research, such as in vivo inspired neural networks and artificial intelligence.

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The information about "TYPEWIRE" are provided by the European Opendata Portal: CORDIS opendata.

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