Consensus emerges and biased competition wins: A commentary on Luck et al. (2021)

2021 ◽  
pp. 1-3
Author(s):  
Carly J. Leonard
Keyword(s):  
2008 ◽  
Author(s):  
Mary A. Peterson ◽  
Elizabeth Salvagio ◽  
Andrew J. Mojica

2004 ◽  
Vol 16 (2) ◽  
pp. 219-237 ◽  
Author(s):  
M. W. Spratling ◽  
M. H. Johnson

Feedback connections are a prominent feature of cortical anatomy and are likely to have a significant functional role in neural information processing. We present a neural network model of cortical feedback that successfully simulates neurophysiological data associated with attention. In this domain, our model can be considered a more detailed, and biologically plausible, implementation of the biased competition model of attention. However, our model is more general as it can also explain a variety of other top-down processes in vision, such as figure/ground segmentation and contextual cueing. This model thus suggests that a common mechanism, involving cortical feedback pathways, is responsible for a range of phenomena and provides a unified account of currently disparate areas of research.


2017 ◽  
Vol 80 ◽  
pp. 80-91 ◽  
Author(s):  
David Clewett ◽  
Michiko Sakaki ◽  
Ringo Huang ◽  
Shawn E. Nielsen ◽  
Mara Mather
Keyword(s):  

2011 ◽  
Vol 6 (2) ◽  
pp. 114-133 ◽  
Author(s):  
Mara Mather ◽  
Matthew R. Sutherland
Keyword(s):  

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