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SUBNETVIS SIGNED

Identifying subtype specific networks involved in sensory representation in mouse primary visual cortex

Total Cost €

0

EC-Contrib. €

0

Partnership

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 SUBNETVIS project word cloud

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

unexplored    broad    initiated    responding    functions    transcriptomics    identification    situ    cortical    integrates    cerebral    link    modulation    share    perform    brain    diverse    university    fixed    interestingly    preference    mainly    behaviors    tuning    poorly    decipher    functional    matteo    tissue    kenneth    posteriori    carandini    harris    laboratory    led    properties    certain    vivo    technique    fine    stimuli    tracing    connected    recorded    experiments    signature    london    correspond    single    preferentially    found    professors    arise    leaving    visual    explore    populating    interact    cortex    extract    diversity    accordingly    college    relationships    identity    computation    locomotor    encode    subpopulation    neuronal    few    primary    throughput    provides    thought    sensory    cell    transcriptomic    specific    subpopulations    mouse    connectivity    connections    monosynaptic    structured    neurons    involvement    giving    combining   

Project "SUBNETVIS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

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 United Kingdom [UK]
 Total cost 212˙933 €
 EC max contribution 212˙933 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 212˙933.00

Map

 Project objective

To produce relevant behaviors, the brain integrates and processes sensory information. Neurons in the primary visual cortex extract sensory information by responding preferentially to certain visual features. This feature preference, or tuning, is thought to arise from structured connections established between cortical neurons. Accordingly, it was found that connected neurons in the cerebral cortex share similar tuning properties. Interestingly, the neurons populating the cerebral cortex correspond to numerous neuronal subpopulations, involved in different functions. However, the functional involvement of this large neuronal diversity in cortical computation has been so far studied for a few broad neuronal subpopulations, leaving the fine subpopulations mainly unexplored. Do these poorly studied neuronal subpopulations share similar tuning properties? Is the structured connectivity giving rise to tuning subpopulation specific? I will use a new technique referred as in situ transcriptomics to study the tuning properties and locomotor modulation of the diverse neuronal subpopulations in the mouse primary visual cortex. This technique provides high throughput identification of neuronal subpopulations on fixed tissue based on the transcriptomic signature of neurons. I will thus determine the identity of in vivo recorded neurons a posteriori and decipher the relationships between cell identity and responses to visual stimuli. Combining this approach with single cell initiated monosynaptic tracing, I will then explore the link between subpopulation specific connectivity and tuning properties. This project will greatly contribute to the understanding of how cortical neuronal subpopulations interact to encode sensory information. I will perform these experiments in the Cortical Processing Laboratory at University College London, led by Professors Kenneth Harris and Matteo Carandini.

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

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