Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (46)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Corchs, S.
Right arrow Articles by Deco, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Corchs, S.
Right arrow Articles by Deco, G.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Cerebral Cortex, Vol. 12, No. 4, 339-348, April 2002
© 2002 Oxford University Press

FEATURE ARTICLE

Large-scale Neural Model for Visual Attention: Integration of Experimental Single-cell and fMRI Data

Silvia Corchs1,2 and Gustavo Deco1

1 Siemens AG, Corporate Technology, Information and Communications, CT IC 4, Otto-Hahn-Ring 6, 81739 Munich, Germany

Silvia Corchs, Siemens AG, CT IC 4, Otto-Hahn-Ring 6, 81739 Munich, Germany.

A computational neuroscience framework is proposed to better understand the role and the neuronal correlate of spatial attention modulation in visual perception. The model consists of several interconnected modules that can be related to the different areas of the dorsal and ventral paths of the visual cortex. Competitive neural interactions are implemented at both microscopic and interareal levels, according to the biased competition hypothesis. This hypothesis has been experimentally confirmed in studies in humans using functional magnetic resonance imaging (fMRI) techniques and also in single-cell recording studies in monkeys. Within this neuro-dynamical approach, numerical simulations are carried out that describe both the fMRI and the electrophysiological data. The proposed model draws together data of different spatial and temporal resolution, as are the above-mentioned imaging and single-cell results.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 J. Neurophysiol.Home page
G. Deco and E. T. Rolls
Neurodynamics of Biased Competition and Cooperation for Attention: A Model With Spiking Neurons
J Neurophysiol, July 1, 2005; 94(1): 295 - 313.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
F. H. Hamker
The Reentry Hypothesis: The Putative Interaction of the Frontal Eye Field, Ventrolateral Prefrontal Cortex, and Areas V4, IT for Attention and Eye Movement
Cereb Cortex, April 1, 2005; 15(4): 431 - 447.
[Abstract] [Full Text] [PDF]

Home page
 J. Cogn. Neurosci.Home page
G. Deco and E. T. Rolls
Sequential Memory: A Putative Neural and Synaptic Dynamical Mechanism
J. Cogn. Neurosci., February 1, 2005; 17(2): 294 - 307.
[Abstract] [Full Text] [PDF]

Home page
 Cereb CortexHome page
G. Deco and E. T. Rolls
Synaptic and Spiking Dynamics underlying Reward Reversal in the Orbitofrontal Cortex
Cereb Cortex, January 1, 2005; 15(1): 15 - 30.
[Abstract] [Full Text] [PDF]

Home page
 J. Cogn. Neurosci.Home page
G. Deco, E. T. Rolls, and B. Horwitz
"What" and "Where" in Visual Working Memory: A Computational Neurodynamical Perspective for Integrating fMRI and Single-Neuron Data
J. Cogn. Neurosci., May 1, 2004; 16(4): 683 - 701.
[Abstract] [Full Text] [PDF]

Home page
 J. Cogn. Neurosci.Home page
M. W. Spratling and M. H. Johnson
A Feedback Model of Visual Attention
J. Cogn. Neurosci., February 1, 2004; 16(2): 219 - 237.
[Abstract] [Full Text] [PDF]

Home page
 Br Med BullHome page
D. R Gitelman
Attention and its disorders: Imaging in clinical neuroscience
Br. Med. Bull., March 1, 2003; 65(1): 21 - 34.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.