Opendata, web and dolomites

BiT SIGNED

How the Human Brain Masters Time

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "BiT" data sheet

The following table provides information about the project.

Coordinator
SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE 

Organization address
address: VIA BONOMEA 265
city: TRIESTE
postcode: 34136
website: www.sissa.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]
 Project website http://www.buetilab.com
 Total cost 1˙670˙830 €
 EC max contribution 1˙670˙830 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE IT (TRIESTE) coordinator 1˙670˙830.00

Map

 Project objective

If you suddenly hear your song on the radio and spontaneously decide to burst into dance in your living room, you need to precisely time your movements if you do not want to find yourself on your bookshelf. Most of what we do or perceive depends on how accurately we represent the temporal properties of the environment however we cannot see or touch time. As such, time in the millisecond range is both a fundamental and elusive dimension of everyday experiences. Despite the obvious importance of time to information processing and to behavior in general, little is known yet about how the human brain process time. Existing approaches to the study of the neural mechanisms of time mainly focus on the identification of brain regions involved in temporal computations (‘where’ time is processed in the brain), whereas most computational models vary in their biological plausibility and do not always make clear testable predictions. BiT is a groundbreaking research program designed to challenge current models of time perception and to offer a new perspective in the study of the neural basis of time. The groundbreaking nature of BiT derives from the novelty of the questions asked (‘when’ and ‘how’ time is processed in the brain) and from addressing them using complementary but distinct research approaches (from human neuroimaging to brain stimulation techniques, from the investigation of the whole brain to the focus on specific brain regions). By testing a new biologically plausible hypothesis of temporal representation (via duration tuning and ‘chronotopy’) and by scrutinizing the functional properties and, for the first time, the temporal hierarchies of ‘putative’ time regions, BiT will offer a multifaceted knowledge of how the human brain represents time. This new knowledge will challenge our understanding of brain organization and function that typically lacks of a time angle and will impact our understanding of how the brain uses time information for perception and action

 Publications

year authors and title journal last update
List of publications.
2017 NA
Una scuola ai vertici europei
published pages: 81, ISSN: , DOI:
PLATINUM - ricerca&innovazione (Il Sole 24Ore) July 2017 2019-06-18
2017 Brent Parsons, Dunia Giomo and Domenica Bueti
Saccadic temporal recalibration leads to a reversal of cause and effect
published pages: 56, ISSN: , DOI:
Proceedings of the 1st Annual Conference of the Timing Research Forum October 2017 2019-06-18
2018 Kulashekhar S., Maass S., Reynaud O., Van Rijn H., Bueti D.
Topographical representation of auditory stimulus durations
published pages: , ISSN: , DOI:
2019-06-06
2018 Bueti D., Protopapa F., Hayashi M.J., Kanai R.
Effective connectivity in a duration selective cortical network
published pages: , ISSN: , DOI:
2019-06-06
2018 Masamichi J. Hayashi, Wietske van der Zwaag, Domenica Bueti, Ryota Kanai
Representations of time in human frontoparietal cortex
published pages: , ISSN: 2399-3642, DOI: 10.1038/s42003-018-0243-z
Communications Biology 1/1 2019-05-22
2018 Brent Parsons, Dunia Giomo, Domenica Bueti
Saccadic temporal recalibration alters action and perception
published pages: 1003, ISSN: 1534-7362, DOI: 10.1167/18.10.1003
Journal of Vision 18/10 2019-05-22
2018 Foteini Protopapa, Masamichi Hayashi, Wietske van der Zwaag, Giovanni Battistella, Micah Murray, Ryota Kanai, Domenica Bueti
Chronotopic maps in human premotor cortex
published pages: 963, ISSN: 1534-7362, DOI: 10.1167/18.10.963
Journal of Vision 18/10 2019-05-22
2019 Foteini Protopapa, Masamichi J. Hayashi, Shrikanth Kulashekhar, Wietske van der Zwaag, Giovanni Battistella, Micah M. Murray, Ryota Kanai, Domenica Bueti
Chronotopic maps in human supplementary motor area
published pages: e3000026, ISSN: 1545-7885, DOI: 10.1371/journal.pbio.3000026
PLOS Biology 17/3 2019-05-22
2018 Gianfranco Fortunato, Tatiana Kénel-Pierre, Micah Murray, Domenica Bueti
The spatial representation of time in visual cortex
published pages: 961, ISSN: 1534-7362, DOI: 10.1167/18.10.961
Journal of Vision 18/10 2019-05-22

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

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

DEADSEA_ECO (2019)

Modelling Anthropocene Trophic Cascades of the Judean Desert Ecosystem: A Hidden Dimension in the History of Human-Environment Interactions

Read More  

EmbryoMethFunc (2019)

Cell-Type Specific DNA Methylation Changes During Mammalian Development: Beyond Mapping

Read More  

CANCEREVO (2019)

Deciphering and predicting the evolution of cancer cell populations

Read More