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NeuroTick SIGNED

The neuroscience of tickling: cerebellar mechanisms and sensory prediction

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 NeuroTick project word cloud

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

awake    mental    signals    detecting    expertise    inhibitory    combining    contain    university    recordings    hypothesis    deeper    superficial    sense    cerebellum    action    neuronal    motor    wang    brain    sensory    somatosensory    created    induces    prediction    princeton    surprise    representations    forebrain    naturalistic    social    inputs    understand    models    signal    species    tickle    movements    modulate    tickling    prevent    special    surprising    from    lab    actions    touch    predict    adapting    neuroscience    sudden    environment    source    rats    cortex    connections    activated    underlying    behaving    model    humboldt    reciprocal    mice    containing    prof    events    simulating    body    predictions    universitaet    survival    internally    context    unexpected    seems    upcoming    plays    self    cerebellar    layers    function    hypothesize    situations    combined    memories    placed    mechanisms    aid    brecht    form    predator    activation   

Project "NeuroTick" data sheet

The following table provides information about the project.

Coordinator
HUMBOLDT-UNIVERSITAET ZU BERLIN 

Organization address
address: UNTER DEN LINDEN 6
city: BERLIN
postcode: 10117
website: www.hu-berlin.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 246˙669 €
 EC max contribution 246˙669 € (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-GF
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HUMBOLDT-UNIVERSITAET ZU BERLIN DE (BERLIN) coordinator 246˙669.00
2    TRUSTEES OF PRINCETON UNIVERSITY US (PRINCETON, NJ) partner 0.00

Map

 Project objective

Detecting surprising events, such as the sudden approach of a predator or an unexpected touch, is crucial for the survival of all species. We aim to study neuronal mechanisms underlying surprising events. In order to predict upcoming events, mental models of future actions are essential. Where in the brain are such predictions and mental models created? The somatosensory cortex might contain a body model, in which superficial layers provide context and sensory memories, and inputs from deeper layers allow for simulating body movements. In rats, the somatosensory cortex is activated by tickling, which is a special form of unexpected touch containing elements of both sensory and social surprise. However, self-touch induces signals which prevent activation of the somatosensory cortex and prevent self-tickle. Where do these self-touch induced inhibitory signals come from? We hypothesize that the cerebellum is the source of self-touch induced signals. The cerebellum has reciprocal connections with key forebrain areas, including the somatosensory cortex. Combined with its known role in adapting action to sensory and internally generated events, the cerebellum seems well placed to aid in the processing of surprising events. We will test in mice and rats the hypothesis that the cerebellum plays a key role in processing unexpected events to modulate representations in somatosensory cortex. By combining the applicant’s experience in recordings from awake behaving mice, the expertise of the lab of Prof. Wang at Princeton University in cerebellar research with a focus on motor and non-motor function, and the expertise of the lab of Prof. Brecht at Humboldt-Universitaet in naturalistic systems neuroscience, we are well placed to study the cerebellar signals for sensory prediction. This study can help us to understand how we make sense of the complex environment around us by combining different inputs to form predictions and signal unexpected events during surprising situations.

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

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