Opendata, web and dolomites

PUPILTRAITS SIGNED

Biomarkers of individual differences in human cortical visual processing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "PUPILTRAITS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DI PISA 

Organization address
address: LUNGARNO PACINOTTI 43/44
city: PISA
postcode: 56126
website: www.unipi.it

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 Italy [IT]
 Total cost 1˙490˙375 €
 EC max contribution 1˙490˙375 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-03-01   to  2024-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DI PISA IT (PISA) coordinator 1˙490˙375.00

Map

 Project objective

Vision is probably the best understood system of the human brain: studying vision has taught us much about the human mind and its complex processes. We know in detail the fundamental steps leading to visual perception, but we do not know why normally sighted people differ in how they perceive: why some “see the forest before the trees”, while others have a fragmented perceptual experience focused on local features. PUPILTRAITS aims to fill this gap by taking an innovative approach to vision science, to understand how vision is affected by physiological state and personality traits. I will measure visual processing with both classic and new methods (that I helped develop), including pupil responses, ultra-high field Magnetic Resonance of human visual cortex, and psychophysics. Based on solid pilot data, I predict that differences in behavioral and cortical properties co-vary with personality traits, providing new reliable biomarkers of the local context-independent perception associated with autistics traits, even in young children (using pupillometry). These tools will also reveal changes of perception within individuals: during a safe and simple physiological intervention (ketosis, a metabolic state that can be naturally induced by fasting and intense physical activity), to show that early visual processing can be altered by acting on metabolism, and that this consequently affects holistic/local perceptual styles. My aim is to provide new knowledge on the relationship between metabolism, cortical processing and perception. This has the potential for a strong societal impact: it can change our understanding of pervasive developmental disorders, like Autistic Spectrum Disorders, characterized by a different way of processing incoming information; it can aid their diagnosis through objective evaluation of perceptual styles, and encourage innovative therapeutic approaches aimed at changing perception and behavior by acting on general physiology: how we eat and exercise

 Deliverables

List of deliverables.
Data Management Plan Open Research Data Pilot 2019-10-03 18:12:09

Take a look to the deliverables list in detail:  detailed list of PUPILTRAITS deliverables.

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

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

RECON (2019)

Reprogramming Conformation by Fluorination: Exploring New Areas of Chemical Space

Read More  

UNITY (2020)

A Single-Photon Source Featuring Unity Efficiency And Unity Indistinguishability For Scalable Optical Quantum Information Processing

Read More  

GAIA (2020)

A Genomic and Macroevolutionary Approach to Studying Diversification in an Insect-Plant Arms Race

Read More