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DENDRITESONBORDERS SIGNED

Neuronal and dendritic recruitment on neocortical area borders

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DENDRITESONBORDERS project word cloud

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

anatomical    populations    hope    experiments    activity    individual    act    developmentally    constraints    elucidated    function    faced    principles    understudied    borders    synaptic    computational    brain    asymmetry    operations    one    effort    mouse    context    networks    integration    border    yield    striking    local    generate    societal    special    specialization    manipulate    streams    computations    theories    leveraging    describing    innovative    separable    network    neuron    seek    arbors    speak    scientific    vivo    segregated    discovered    scales    answers    relate    serving    area    active    cortex    computationally    performed    governing    neuronal    basic    cellular    interesting    larger    poorly    predict    visual    amplify    disease    relationship    neocortex    inputs    recruitment    health    branches    sub    dendritic    flow    cluster    uncover    besides    neurons    electrically    perform    functional    interpret    original    experimental    output    subunits    scaffold    dendrites    relationships    functionally    ask    neural    elaborate    perspective    cortical    link   

Project "DENDRITESONBORDERS" 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: http://www.ucl.ac.uk

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]
 Project website http://www.dendrites.org
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (London) coordinator 183˙454.00

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 Project objective

One of the most striking features of cortex is the elaborate and electrically active dendritic arbors of its neurons. Besides serving as a scaffold for synaptic inputs, dendrites can amplify inputs and act as computational subunits within a neuron. However, the principles governing the relationship between dendritic processing and information flow through cortical networks remain to be elucidated in vivo. These basic principles must be discovered as part of the effort to generate useful theories that relate sub-cellular processes like synaptic integration to computations performed by large populations of neurons. Such theories that link different scales of neural function are an important step for the larger scientific and societal goal to interpret, predict and manipulate neuronal and cortical function in health and disease. We seek to uncover principles describing the relationships between local network activity, dendritic recruitment, and neuronal output in neocortex in vivo in the anatomical context of a visual cortical area border in the mouse brain. Cortical area borders are poorly understood, but offer unique experimental opportunities. Our goal is to exploit the functional asymmetry present at borders to perform strong experiments that ask: Do functionally similar inputs cluster in dendritic arbors? How is the recruitment of individual dendrites related to local network activity? Do different dendritic branches perform separable computational operations in vivo? Going further, we will determine if different streams of information are segregated or integrated at borders. This basic feature of cortex is interesting both computationally and developmentally. The answers will speak to the constraints faced by cortex in managing information flow and creating functional specialization. We hope the innovative approach of leveraging the unique features of an understudied anatomical special case will yield results and a perspective that is original and useful.

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