Multivariate EEG analyses support high-resolution tracking of feature-based attentional selection

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Multivariate EEG analyses support high-resolution tracking of feature-based attentional selection is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1085378966
P356DOI10.1038/S41598-017-01911-0
P8608Fatcat IDrelease_si5tctdf3jeo7pqdv5bm66ftie
P932PMC publication ID5432503
P698PubMed publication ID28507285

P50authorMartin EimerQ1790491
Johannes J FahrenfortQ57977624
Christian OliversQ43093272
Anna GrubertQ45735871
P2093author name stringMartin Eimer
Christian N L Olivers
Johannes Jacobus Fahrenfort
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The topography of alpha-band activity tracks the content of spatial working memoryQ36597919
Near-real-time feature-selective modulations in human cortexQ36716939
Decoding attended information in short-term memory: an EEG studyQ37178524
The neural basis of attentional control in visual searchQ38220305
Decoding and Reconstructing the Focus of Spatial Attention from the Topography of Alpha-band OscillationsQ39898056
Electrophysiological correlates of feature analysis during visual searchQ46607076
On the interpretation of weight vectors of linear models in multivariate neuroimagingQ47199694
Responses of neurons in inferior temporal cortex during memory-guided visual searchQ48323581
Rapid top-down control over template-guided attention shifts to multiple objectsQ48555820
Parallel and serial neural mechanisms for visual search in macaque area V4.Q48920452
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P2507corrigendum / erratumAuthor Correction: Multivariate EEG analyses support high-resolution tracking of feature-based attentional selectionQ90350653
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectmultivariate statisticsQ1952580
attentionQ6501338
P304page(s)1886
P577publication date2017-05-15
P1433published inScientific ReportsQ2261792
P1476titleMultivariate EEG analyses support high-resolution tracking of feature-based attentional selection
P478volume7

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Q83229286Humans can efficiently look for but not select multiple visual objects
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