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MECHIDENT SIGNED

Who is that? Neural networks and mechanisms for identifying individuals

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 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.

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

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

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

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