LOADATCMC08

Perceptual load and neural competition. Determinant factors in selective attention

Coordinatore	UNIVERSITY COLLEGE LONDON    more  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Ms. Nome: Greta Cognome: Borg-Carbott Email: send email Telefono: +44 2031083033 Fax: 442031000000
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	183˙618 €
EC contributo	183˙618 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-IEF-2008
Funding Scheme	MC-IEF
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-06-15   -   2013-02-21

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE LONDON  Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT contact info Titolo: Ms. Nome: Greta Cognome: Borg-Carbott Email: send email Telefono: +44 2031083033 Fax: 442031000000	UK (LONDON)	coordinator	183˙618.80

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Perceptual load theory has been credited with solving the long-standing debate in Psychology about the locus of selection. According with this theory, the degree to which distracting information can be ignored depends on the perceptual load of the task, or the extent to which the task exhausts perceptual capacity. However, there is currently no a priori definition of what constitutes high or low perceptual load. Here I propose a new framework to formalize perceptual resources according to the local competitive interactions that happen in the visual cortex and that modulate the representation of the information. I aim to explore the role of these competitive interactions in determining attentional selection. Moreover, I propose to investigate the neural mechanisms underlying perceptual load-based selection. The proposal represents a novel approach to the study of selective processing and limits of capacity in the human brain by integrating behavioral, fMRI and TMS methods'