Neural Mechanisms of Visual Perception and Attention

Projektinformationen

NEURO-VPA

ID Finanzhilfevereinbarung: 618101

Projekt abgeschlossen

Startdatum 1 September 2013

Enddatum 31 August 2017

Finanziert unter

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Gesamtkosten € 100 000,00

EU-Beitrag € 100 000,00

Koordiniert durch

BILKENT UNIVERSITESI VAKIF
Türkiye

Ziel

Attention is a control system that optimizes behavior by altering the way that incoming sensory information is processed. Determining how attention influences the way that information is represented throughout the brain is a core problem in sensory neuroscience. Recent evidence from primates suggests that attention can change tuning in single neurons at higher stages of visual processing. Tuning changes imply that many visual representations are not fixed, but rather can be changed dynamically according to task demands. However, it is currently unknown whether attention causes tuning changes in the human brain.

This proposal investigates how attention changes tuning for a broad range of semantic features across the entire human brain. To address this issue, the proposal uses functional MRI to record blood-oxygen level-dependent (BOLD) signals while humans search for specific object or action categories (e.g. “Humans” or “Vehicles”) in natural movies. The proposal leverages an innovative voxel-wise modeling framework to characterize how attention changes tuning for hundreds of semantic features. This framework will enable separate characterization of attentional influences on response baseline, response gain and tuning.

The proposal consists of two broad Aims. Aim 1 focuses on how attention changes the way that objects and actions are represented in the brain. Aim 2 addresses the computational principles that govern attentional tuning changes. These experiments will provide crucial information for understanding how the brain dynamically changes representations to optimize behavior during natural vision, and they will provide the first quantitative semantic models that accurately predict BOLD responses during natural visual search. The results will advance our understanding of cognitive processes such as learning and memory that depend on attention, and they will have implications for developing treatments and interventions for attention-related mental disorders.

Wissenschaftliches Gebiet

• natural sciences › biological sciences › zoology › mammalogy › primatology
• natural sciences › biological sciences › neurobiology
• social sciences › media and communications › graphic design
• medical and health sciences › clinical medicine › psychiatry
• social sciences › psychology › cognitive psychology

Programm/Programme

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Thema/Themen

• FP7-PEOPLE-2013-CIG - Marie-Curie Action: "Career Integration Grants"

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-2013-CIG
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MC-CIG - Support for training and career development of researcher (CIG)

Koordinator

BILKENT UNIVERSITESI VAKIF

Kontakt Verwaltung

Abdullah Atalar (Prof.)

• EU-Beitrag: € 100 000,00
• Adresse: ESKISEHIR YOLU 8 KM ; 06800 Bilkent Ankara ; Türkei
• Region: Batı Anadolu › Ankara › Ankara
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: Keine Daten