TY  - GEN
ID  - cogprints3542
UR  - http://cogprints.org/3542/
A1  - Spratling, M W
A1  - Johnson, M H
Y1  - 2004///
N2  - Feedback connections are a prominent feature of cortical anatomy and are likely
to have 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.

TI  - A feedback model of visual attention
SP  - 219
AV  - public
EP  - 237
ER  -

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