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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.

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

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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