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DendritesInVivo SIGNED

Prediction and validation of in vivo dendritic processing

Total Cost €

0

EC-Contrib. €

0

Partnership

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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.

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

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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