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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.

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

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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