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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.

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

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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