Opendata, web and dolomites

MECHIDENT SIGNED

Who is that? Neural networks and mechanisms for identifying individuals

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 MECHIDENT project word cloud

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

temporal    entirely    convergence    core    neuronal    mystery    modality    central    insights    humans    animal    lateral    rare    lobe    atl    invariant    survival    manipulation    representation    streams    unravel    integration    patients    monkeys    cognitive    inform    types    independent    direct    somehow    individual    that    becomes    elicits    identity    stratify    multisensory    anterior    social    basic    monitored    sense    sites    inactivation    interact    our    circuit    compare    dynamics    degradation    mechanisms    efforts    visual    accounts    achieves    science    operations    damage    link    generally    transmodal    input    unknown    recordings    interactions    poised    act    models    site    elicited    brings    optogenetic    voice    critically    auditory    person    once    hypothesis    combined    sensory    revealed    human    recognition    identification    frameworks    inputs    content    gained    critical    individuals    brain    combines    senses    surgery    investigations   

Project "MECHIDENT" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF NEWCASTLE UPON TYNE 

Organization address
address: KINGS GATE
city: NEWCASTLE UPON TYNE
postcode: NE1 7RU
website: http://www.ncl.ac.uk/

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 1˙995˙677 €
 EC max contribution 1˙995˙677 € (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 2017-07-01   to  2022-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF NEWCASTLE UPON TYNE UK (NEWCASTLE UPON TYNE) coordinator 1˙995˙677.00

Map

 Project objective

Our social interactions and survival critically depend on identifying specific individuals to interact with or avoid (“who is that?”). Identifying individuals can be achieved by different sensory inputs, and by many accounts any sensory input elicits a representation of an individual that somehow becomes transmodal or independent of any sensory system. However, how the brain achieves transmodal integration facilitating individual recognition remains a mystery: Investigations in humans allowing direct access to site-specific neuronal processes are generally rare and have not focused on understanding neuronal multisensory integration for person recognition. Also, animal models to study the neuronal mechanisms of related processes have only recently become known. I propose to use direct recordings of neuronal activity in both humans and monkeys during face- and voice-identification tasks, combined with site-specific manipulation of the sensory input streams into the lateral anterior temporal lobe (ATL). The ATL brings together identity-specific content from the senses but the neuronal mechanisms for this convergence are entirely unknown. My core hypothesis is that auditory voice- or visual face-identity input into key ATL convergence sites elicits a sensory-modality invariant representation, which once elicited is robust to degradation or inactivation of neuronal input from the other sense. The central aim is to test this in human patients being monitored for surgery and to directly compare and link the results with those in monkeys where the neuronal circuit and mechanisms can be revealed using optogenetic control of neuronal responses. Analyses will assess neuronal dynamics and sensory integration frameworks. This proposal is poised to unravel how the brain combines multisensory input critical for identifying individuals and cognitive operations to act upon. The basic science insights gained may inform efforts to stratify patients with different types of ATL damage.

 Publications

year authors and title journal last update
List of publications.
2018 Oya, et al, Petkov, et al
Neural phase locking predicts BOLD response in human auditory cortex
published pages: , ISSN: 1053-8119, DOI:
Neuroimage 2019-05-16
2019 Wikman, Rinne & Petkov
Reward cues readily direct monkeys’ auditory attention resulting in broad auditory cortex modulation and interaction with sites along cholinergic and dopaminergic pathways
published pages: , ISSN: 2045-2322, DOI:
Nature Scientific Reports 2019-05-16
2018 Mitchell, Thiele, Petkov, Roberts, Robbins, Schultz and Lemon
Continued need for non-human primate neuroscience research
published pages: , ISSN: 0960-9822, DOI:
Current Biology 2019-05-16
2017 Oya, et al, Petkov, et al
Mapping effective connectivity in the human brain with concurrent intracranial electrical stimulation and BOLD-fMRI
published pages: , ISSN: 0165-0270, DOI:
Journal of Neuroscience Methods 2019-05-16
2018 Milham, et al, Petkov, Nacef, et al
An Open Resource for Non-human Primate Imaging
published pages: , ISSN: 0896-6273, DOI:
Neuron 2019-05-16

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MECHIDENT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

CohoSing (2019)

Cohomology and Singularities

Read More  

PROTECHT (2020)

Providing RObust high TECHnology Tags based on linear carbon nanostructures

Read More  

DDREAMM (2020)

Dna Damage REsponse: Actionabilities, Maps and Mechanisms

Read More