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DendritesInVivo SIGNED

Prediction and validation of in vivo dendritic processing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DendritesInVivo project word cloud

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

nonlinear    salient    synaptic    predictions    tuned    experiment    anticipate    integration    repertoire    neural    patterns    tree    theory    behaving    action    scheme    principles    neurons    operations    stimulus    elaborate    mechanisms    algorithmic    imaging    dynamics    calcium    employed    transduction    discriminate    dendritic    postsynaptic    neuron    brain    synergy    awake    dendrites    experiments    shaped    output    unknown    critical    remarkable    lab    visual    single    confer    living    colour    fundamental    decoding    yield    primary    model    presented    vivo    vast    formulate    predict    learns    cell    discover    biophysical    validate    elucidated    computation    morphology    questions    largely    optimal    spatiotemporal    insights    presynaptic    axon    construct    dual    actually    computational    network    host    cortical    statistics    cortex    expertise    unclear    release    decades    answer    gap    code    extracted    function    glutamate    combining    encoding    biological    input    strategies    photon    theoretical    suite    obstacle    extension    mice   

Project "DendritesInVivo" 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 2020-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

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

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 Project objective

Integration of synaptic input by single neurons is fundamental to computation in the brain. The output of every cell within a network is shaped by the elaborate morphology of its dendritic tree, and a suite of biophysical mechanisms that confer nonlinear processing capabilities. Over past decades, a remarkable synergy between theory and experiment has elucidated key strategies by which single-cell processing could thus enhance the neural code. However, a critical gap in current understanding remains: which operations from the vast dendritic repertoire are actually employed in vivo? One major obstacle to addressing this problem is that the statistics of in vivo input patterns are largely unknown. Thus, it is unclear how salient information is presented to the dendrites of a neuron, and by extension, what mechanisms are used for its transduction to action potential output at the axon.

I aim to answer these questions by combining my expertise with that of the host lab to formulate theoretical predictions and then validate them with in vivo experiments. Specifically, I will construct a computational model of a cortical neuron that learns to discriminate synaptic input patterns, and use it to discover the optimal scheme for encoding and decoding information. I will thus predict the spatiotemporal patterns of synaptic input to stimulus-tuned neurons, and the biophysical mechanisms through which this information can be extracted. I will then test these predictions in primary visual cortex of awake behaving mice through two-photon dual-colour imaging of presynaptic glutamate release and postsynaptic calcium dynamics. By relating the algorithmic and biological function of neurons in the living brain, I anticipate this project will yield important insights into general principles of neural computation.

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

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