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SUBDECODE SIGNED

Dendritic encoding of movement in space

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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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.

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

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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