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From behavior to neural dynamics: An integrated theory of attention
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    The brain has a limited capacity and therefore needs mechanisms to selectively enhance the information most relevant to one's current behavior. We refer to these mechanisms as "attention." Attention acts by increasing the strength of selected neural representations and preferentially routing them through the brain's large-scale network. This is a critical component of cognition and therefore has been a central topic in cognitive neuroscience. Here we review a diverse literature that has studied attention at the level of behavior, networks, circuits, and neurons. We then integrate these disparate results into a unified theory of attention.

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    DP2 EY025446/EY/NEI NIH HHS/United States
    R01-MH64043/MH/NIMH NIH HHS/United States
    R21-EY02565/EY/NEI NIH HHS/United States
    R01-EY017699/EY/NEI NIH HHS/United States
    R00 MH092715/MH/NIMH NIH HHS/United States
    DP2-EY025446/DP/NCCDPHP CDC HHS/United States
    R21 EY023565/EY/NEI NIH HHS/United States
    R01 EY017699/EY/NEI NIH HHS/United States
    R00-MH092715/MH/NIMH NIH HHS/United States
    R01 MH064043/MH/NIMH NIH HHS/United States
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