ATTENTIONLOOP
Investigating the neural mechanisms of feature-based and spatial attention in a network model of two coupled brain areas
| Coordinatore | CONSORCI INSTITUT D'INVESTIGACIONS BIOMEDIQUES AUGUST PI I SUNYER
Organization address
address: CALLE ROSSELLO 149 PUERTA BJS contact info |
| Nazionalità Coordinatore | Spain [ES] |
| Totale costo | 167˙180 € |
| EC contributo | 167˙180 € |
| 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-2010-IEF |
| Funding Scheme | MC-IEF |
| Anno di inizio | 2011 |
| Periodo (anno-mese-giorno) | 2011-06-01 - 2013-05-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
CONSORCI INSTITUT D'INVESTIGACIONS BIOMEDIQUES AUGUST PI I SUNYER
Organization address
address: CALLE ROSSELLO 149 PUERTA BJS contact info |
ES (BARCELONA) | coordinator | 167˙180.80 |
Mappa
Word cloud
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Obiettivo del progetto (Objective)
'Attention is the ability to focus the processing resources of the brain onto relevant sensory information. This cognitive ability allows us to perceive attended aspects of the environment with enormous precision without being overwhelmed by irrelevant information. Recordings from neurons in the cortex of monkeys performing attentional tasks have demonstrated attentional modulation of sensory neurons in attend-to-location and attend-to-feature tasks (“spatial” and “feature-based” attention). The neural activity in sensory areas is not only modulated by attentional top-down signals but also by sensory-driven bottom-up processes such as neural adaptation. Despite extensive research on these phenomena, an explanation of attention at the level of single neurons and neural networks has remained elusive. The goal of the proposed project is to integrate bottom-up and top-down processes in a computational model in order to progress in the mechanistic understanding of visual attention. We propose using a multidisciplinary approach, based on a tight interaction of modeling and experiment. Experimental data from direction selective neurons of the visual cortex, which have been recorded by our collaborators, will guide the development of a biophysical network model and the model will, in turn, facilitate the data analysis. The model will consist of two cortical areas, one devoted to the active maintenance of information (working memory circuit in prefrontal or parietal cortex) and the other one responsive to novel stimuli (visual cortex, endowed with adaptation mechanisms). We expect the model to clarify the contribution to attentional modulation of interactions within and across cortical areas. In particular, we aim to investigate (1) the underlying mechanisms of bottom-up and top-down processes, (2) the interaction of spatial and feature-based attention, and (3) the influence of attention on the oscillatory synchronization and variability of neuronal responses.'