Opendata, web and dolomites

NATVIS SIGNED

Characterizing neural mechanisms underlying the efficiency of naturalistic human vision

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 NATVIS project word cloud

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

perform    episodic    simultaneously    fmri    natural    memory    interactions    multiple    representation    street    hypothesis    data    presenting    multivariate    frontier    meg    sensory    complexity    visual    rooms    attentional    daily    powerful    neural    hypothesized    presented    multitude    city    object    mechanisms    characterization    fill    regularities    represented    cars    uses    living    templates    scene    bias    representational    rapid    naturalistic    regularity    objects    tms    contain    guidance    characterizing    predictions    vision    cortex    relevance    expectations    reflected    functional    cortical    tackles    goals    content    internally    brains    recognition    amount    little    basis    crossing    gap    selective    ing    underlying    causal    scenes    remarkable    interact    full    dynamics    our    neuroscience    select    environments    disambiguated    positional    grouping    world    reduce    streets    life    efficient    function    embracing    brain    overwhelming    efficiency    optimally    detection    natvis    clutter    context   

Project "NATVIS" data sheet

The following table provides information about the project.

Coordinator
STICHTING KATHOLIEKE UNIVERSITEIT 

Organization address
address: GEERT GROOTEPLEIN NOORD 9
city: NIJMEGEN
postcode: 6525 EZ
website: www.radboudumc.nl

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 Netherlands [NL]
 Total cost 1˙978˙194 €
 EC max contribution 1˙978˙194 € (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 2017-09-01   to  2022-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STICHTING KATHOLIEKE UNIVERSITEIT NL (NIJMEGEN) coordinator 1˙978˙194.00

Map

 Project objective

Our daily-life visual environments, such as city streets and living rooms, contain a multitude of objects. Out of this overwhelming amount of sensory information, our brains must efficiently select those objects that are relevant for current goals, such as cars when crossing a street. The visual system has developed and evolved to optimally perform tasks like these, as reflected in the remarkable efficiency of naturalistic object detection. Little is known about the neural mechanisms underlying this efficiency. NATVIS aims to fill this gap, presenting a comprehensive multi-method and hypothesis-driven approach to improve our understanding of the neural mechanisms underlying the efficient detection of objects in natural scenes. fMRI, MEG, and TMS will be used to study the neural basis of rapid attentional guidance based on scene context and episodic memory, resulting in a full characterization of when, where, and how context- and memory-based expectations interact with attentional templates in visual cortex and beyond. The powerful effects of scene context on object recognition will be studied by testing how context-disambiguated objects are represented in visual cortex, characterizing when context-based predictions bias object processing, and testing for causal interactions between scene- and object-selective pathways in visual cortex. NATVIS will study how the brain uses real-world regularities to support object grouping and reduce clutter in scenes, modelling the cortical representation and neural dynamics of multiple simultaneously presented objects as a function of positional regularity. Finally, advanced multivariate modelling of fMRI data will test the functional relevance and representational content of internally generated templates that are hypothesized to facilitate object detection in scenes. This program of research tackles the next frontier in the neuroscience of high-level vision and attention, embracing the complexity of naturalistic vision.

 Publications

year authors and title journal last update
List of publications.
2019 Talia Brandman, Marius V. Peelen
Signposts in the Fog: Objects Facilitate Scene Representations in Left Scene-selective Cortex
published pages: 390-400, ISSN: 0898-929X, DOI: 10.1162/jocn_a_01258
Journal of Cognitive Neuroscience 31/3 2020-02-19
2018 Elisa Battistoni, Daniel Kaiser, Clayton Hickey, Marius V. Peelen
The time course of spatial attention during naturalistic visual search
published pages: 10, ISSN: 0010-9452, DOI: 10.1016/j.cortex.2018.11.018
Cortex 2020-02-19
2019 Harish Katti, Marius V. Peelen, S. P. Arun
Machine vision benefits from human contextual expectations
published pages: 12, ISSN: 2045-2322, DOI: 10.1038/s41598-018-38427-0
Scientific Reports 9/1 2020-02-19
2018 Daniel Kaiser, Marius V. Peelen
Transformation from independent to integrative coding of multi-object arrangements in human visual cortex
published pages: 334-341, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.12.065
NeuroImage 169 2020-02-19
2018 Sushrut Thorat, Marcel van Gerven, Marius Peelen
The functional role of cue-driven feature-based feedback in object recognition
published pages: , ISSN: , DOI: 10.32470/ccn.2018.1044-0
2018 Conference on Cognitive Computational Neuroscience 2020-02-19

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NATVIS" 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 "NATVIS" are provided by the European Opendata Portal: CORDIS opendata.

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

SuperH (2019)

Discovery and Characterization of Hydrogen-Based High-Temperature Superconductors

Read More  

InsideChromatin (2019)

Towards Realistic Modelling of Nucleosome Organization Inside Functional Chromatin Domains

Read More  

PROGRESS (2019)

The Enemy of the Good: Towards a Theory of Moral Progress

Read More