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Hermann J. Müller

Researcher at Ludwig Maximilian University of Munich

Publications -  487
Citations -  17351

Hermann J. Müller is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Visual search & Cognition. The author has an hindex of 63, co-authored 460 publications receiving 15783 citations. Previous affiliations of Hermann J. Müller include University of London & University of Manchester.

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Reflexive and voluntary orienting of visual attention: time course of activation and resistance to interruption

TL;DR: Effects of advance cues indicating the probable locations of targets that they had to discriminate and localize support a model for spatial attention with distinct but interacting reflexive and voluntary orienting mechanisms.
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Visual search for singleton feature targets within and across feature dimensions

TL;DR: Three experiments investigated visual search for singleton feature targets and found that pop-out requires (or involves) knowledge of the particular dimension in which an odd-one-out target differs from the nontargets; furthermore, that knowledge is acquired through the elimination of dimensions not containing a target.
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Searching for unknown feature targets on more than one dimension: Investigating a “dimension-weighting” account

TL;DR: The proposed adimension-weighting account showed that both tasks involveweight shifting, though (explicitly) discerning the dimension of a target requires some process additional to simply detecting its presence; and the intertrial facilitation is indeed (largely) dimension specific rather than feature specific in nature.
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Research on infectious bursal disease--the past, the present and the future.

TL;DR: In this review, some of the recent advances in the understanding of the structure, morphogenesis and molecular biology of the virus as well as in development of new diagnostic approaches and new strategies for vaccination against IBD are briefly summarized.
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Decomposition of Variability in the Execution of Goal-Oriented Tasks: Three Components of Skill Improvement.

TL;DR: A method is presented that decomposes variability into these components in relation to task space that is defined by the execution variables, and successful variable combinations form the solution manifold.