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  2. Alpha wave - Wikipedia

    en.wikipedia.org/wiki/Alpha_wave

    After the mistake was noticed by the subject, there was a decrease in alpha waves as the subject began paying more attention. This study hopes to promote the use of wireless EEG technology on employees in high-risk fields, such as air traffic controlling, to monitor alpha wave activity and gauge the attention level of the employee. [28]

  3. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    When QKV attention is used as a building block for an autoregressive decoder, and when at training time all input and output matrices have rows, a masked attention variant is used: (,,) = (+) where the mask, is a strictly upper triangular matrix, with zeros on and below the diagonal and in every element above the diagonal.

  4. Attention - Wikipedia

    en.wikipedia.org/wiki/Attention

    Attention is best described as the sustained focus of cognitive resources on information while filtering or ignoring extraneous information. Attention is a very basic function that often is a precursor to all other neurological/cognitive functions. As is frequently the case, clinical models of attention differ from investigation models.

  5. Drill commands - Wikipedia

    en.wikipedia.org/wiki/Drill_commands

    Attention (United States: ten-hut). Have the soldiers adopt the at attention position. ... is given, the flag holders put their arms in line with the flag, their ...

  6. Feature integration theory - Wikipedia

    en.wikipedia.org/wiki/Feature_integration_theory

    Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing.

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  8. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    An illustration of main components of the transformer model from the paper "Attention Is All You Need" [1] is a 2017 landmark [2] [3] research paper in machine learning authored by eight scientists working at Google.

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