DocumentCode
2715243
Title
Neural synchrony and selective attention
Author
Desimone, Robert
Author_Institution
McGovern Inst. for Brain Res., MIT, Cambridge, MA, USA
fYear
2009
fDate
14-19 June 2009
Firstpage
683
Lastpage
684
Abstract
A complex visual scene will typically contain many different objects, few of which are currently relevant to behavior. Thus, attentional mechanisms are needed to select the relevant objects from the scene and to reject the irrelevant ones. Neurophysiological studies in monkeys have identified some of the neural mechanisms of attentional selection within the ventral, ldquoobject recognitionrdquo, stream of the cortex, which begins with area V1 and continues through areas V2, V4, and IT cortex. At each stage along this stream, attended, or behaviorally relevant, stimuli are processed preferentially compared to irrelevant distracters. The source of the attentional feedback to visual cortex seems to originate in parietal and prefrontal cortex. We proposed some years ago that this attentional feedback biased competitive interactions among neurons in visual cortex, in favor of neuronal responses to the most behaviorally relevant stimulus. More recent work indicates that these competitive interactions are one aspect of a more general visual mechanism for contrast normalization, which is present in most or all visual areas. By providing the appropriate input to this normalization mechanism, feedback from parietal and prefrontal cortex appears to shift the balance of visual cortical responses towards the attended stimulus.
Keywords
feedback; neural nets; neurophysiology; attentional feedback biased competitive interactions; attentional mechanisms; attentional selection; irrelevant distracters; monkeys; neural mechanisms; neural synchrony; neuronal responses; neurophysiological study; normalization mechanism; object recognition; parietal cortex; prefrontal cortex; visual cortex; Animals; Delay effects; Humans; Layout; Neural networks; Neurofeedback; Neurons; Object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5179097
Filename
5179097
Link To Document