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Selective
attention is a mechanism to utilize computing
resources efficiently in brain for real-world
complicated situations, and has been studied
in two different aspects, i.e., Bottom-Up (BU)
and Top-Down (TD) attention, The BU attention
is given to specific parts of sensory data based
on saliencies, while TD attention is initiated
from higher brain based on a priori knowledge.
There may be dynamic interaction between the
BU and TD attentions.
In this Mini-Symposium
we wluld like to discuss cognitive neurodynamics
of attention and its applications to real-world
machine vision and speech processing tasks.
We hope it will be the place of exciting discussions
among cognitive scientists, computational modelers,
and information processing engineers.
We
encourage contributions presenting new scientific
findings, mathematical models, and novel applications.
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