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SUBDECODE SIGNED

Dendritic encoding of movement in space

Total Cost €

0

EC-Contrib. €

0

Partnership

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 SUBDECODE project word cloud

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

tune    imaging    clamp    chemogenetic    predicting    converting    central    units    function    silencing    input    decoding    network    functional    realistic    inputs    impossible    navigation    navigating    mono    decode    pyramidal    photon    fundamental    mice    map    neurons    memory    neocortical    space    perspectives    relationship    synaptic    knowing    dorsal    output    dissect    prediction    form    understanding    distributed    unresolved    tuning    individual    unravelling    generation    synapses    diversity    faces    guided    contains    cellular    greatest    representation    attempt    cell    outputs    initiated    engaged    navigational    spines    models    dense    sense    resolution    free    computation    final    model    transsynaptic    behavioural    neuroscience    dendritic    subiculum    transformation    subicular    ca2    quest    membrane    patterns    patch    transients    observations    neuroengineering    interface    recordings    basis    brain    biophysical    tracing    neuronal    precise    hippocampal    dissection    origins    networks    single    conversion    neural    spatial    data    incorporated   

Project "SUBDECODE" data sheet

The following table provides information about the project.

Coordinator
LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE 

Organization address
address: BRENNECKESTRASSE 6
city: MAGDEBURG
postcode: 39118
website: www.ifn-magdeburg.de

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 Germany [DE]
 Total cost 1˙806˙068 €
 EC max contribution 1˙806˙068 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LEIBNIZ-INSTITUT FUER NEUROBIOLOGIE DE (MAGDEBURG) coordinator 482˙906.00
2    DEUTSCHES ZENTRUM FUR NEURODEGENERATIVE ERKRANKUNGEN EV DE (BONN) participant 1˙323˙161.00

Map

 Project objective

Understanding the neuronal basis of behaviour is a central quest for neuroscience. Neurons are the fundamental units of computation in the brain. Thus, any attempt at unravelling the relationship of neural networks activity and behaviour must be based on an understanding of the transformation of inputs to outputs in single neurons. One of the greatest challenges that our field faces is to make sense of inputs. Without knowing how different synaptic inputs are engaged during behaviour, it is impossible to decode the neuronal input to output conversion. We have developed an approach that allows both the dissection of inputs and the prediction of output during behaviour. We will apply this functional decoding approach to pyramidal neurons in the dorsal subiculum. These neurons form a hippocampal-neocortical interface and are important for memory-guided navigation. The output of subicular neurons contains a dense, distributed representation of space, but the functional input diversity is unresolved. Following the generation of a spatial tuning map during navigational tasks with two-photon Ca2 imaging at cellular-resolution, we will map the input origins of individual neurons by using targeted single-cell initiated mono-transsynaptic tracing. Then, we will dissect the function of the input from different origins by chemogenetic silencing of input synapses. As a central component of the project, we will map dendritic input patterns in navigating mice with two-photon imaging of Ca2 transients on dendritic spines. These patterns will be incorporated into a data-driven biophysical model capable of converting realistic synaptic inputs into output. We will tune the model parameters using whole-cell patch-clamp recordings during free behaviour. The final models will be capable of predicting the membrane potential of subicular neurons from precise behavioural observations, offering exciting new perspectives for network analysis and neuroengineering.

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

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