The impact of probabilistic feature cueing depends on the level of cue abstraction View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-03

AUTHORS

Pascasie L. Dombert, Gereon R. Fink, Simone Vossel

ABSTRACT

Allocation of attentional resources rests on predictions about the likelihood of events. While this effect has been extensively studied in the spatial attention domain where the location of a target stimulus is pre-cued, less is known about the cueing of stimulus features such as the color of a behaviorally relevant target. Moreover, there is disagreement about which types of color cues are effective for biasing attention. Here we investigated the effects of probabilistic context (percentage of cue validity, %CV) for different levels of cue abstraction to elucidate how feature-based search information is processed and used to direct attention. The color of a target was cued by presenting the perceptual color, the color word, or two-letter abbreviations. %CV, i.e., the probability that the cue indicated the color correctly, changed unpredictably between 50, 70, and 90%. Response times (RTs) for valid and invalid trials in each %CV condition were recorded in 60 datasets and analyzed with analyses of variance. The results showed that all cues were associated with comparable RT costs after invalid cueing. The modulation of RT costs by probabilities, however, depended upon level of cue abstraction and time on task: While a strong, immediate impact of %CV was found for two-letter cueing, the effect was solely observed in the second half of the experiment for perceptual and word cues. These results demonstrate that probabilistic feature-based information is processed differently for different levels of cue abstraction. Moreover, the modulatory effect of the environmental statistics differentially depends on the time on task for different feature cues. More... »

PAGES

685-694

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00221-015-4487-2

DOI

http://dx.doi.org/10.1007/s00221-015-4487-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034374657

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26586268


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Attention", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cues", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Eye Movements", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photic Stimulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Probability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Psychomotor Performance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reaction Time", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Forschungszentrum J\u00fclich", 
          "id": "https://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Leo-Brandt-Str. 5, 52425, Juelich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dombert", 
        "givenName": "Pascasie L.", 
        "id": "sg:person.01004734407.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004734407.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Cologne", 
          "id": "https://www.grid.ac/institutes/grid.411097.a", 
          "name": [
            "Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Leo-Brandt-Str. 5, 52425, Juelich, Germany", 
            "Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fink", 
        "givenName": "Gereon R.", 
        "id": "sg:person.01071124046.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071124046.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Forschungszentrum J\u00fclich", 
          "id": "https://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Leo-Brandt-Str. 5, 52425, Juelich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vossel", 
        "givenName": "Simone", 
        "id": "sg:person.0720036437.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720036437.89"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/00335558008248231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002574304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00335558008248231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002574304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2005.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004535836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2005.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004535836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.0091-14.2014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006673704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00426-008-0203-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007466869", 
          "https://doi.org/10.1007/s00426-008-0203-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13414-011-0231-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012031710", 
          "https://doi.org/10.3758/s13414-011-0231-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13423-012-0240-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012062956", 
          "https://doi.org/10.3758/s13423-012-0240-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cercor/bhs418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014620746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actpsy.2010.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016738895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017432481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.1262-08.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018553458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0015555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019683883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0015554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021694811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/a0020364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022460991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03205506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024970122", 
          "https://doi.org/10.3758/bf03205506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/nimg.2001.0790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028618538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fpsyg.2015.00117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033287104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13414-014-0720-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034592756", 
          "https://doi.org/10.3758/s13414-014-0720-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13414-014-0720-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034592756", 
          "https://doi.org/10.3758/s13414-014-0720-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03211368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038478489", 
          "https://doi.org/10.3758/bf03211368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hbm.21196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039587618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03193557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040343147", 
          "https://doi.org/10.3758/bf03193557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1523/jneurosci.3591-08.2008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043143771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0033-2909.109.2.163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045056747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rstb.2013.0055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046267396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00162-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046632216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1053-8119(03)00162-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046632216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fnhum.2013.00685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046906178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0096-1523.15.2.315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047282239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0096-1523.33.6.1335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047616780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13423-013-0507-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052560124", 
          "https://doi.org/10.3758/s13423-013-0507-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/s13423-013-0507-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052560124", 
          "https://doi.org/10.3758/s13423-013-0507-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nn1954", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053677811", 
          "https://doi.org/10.1038/nn1954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s003329170005159x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053834502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s003329170005159x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053834502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0096-3445.131.2.220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056368457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0096-3445.131.2.220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056368457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20982/tqmp.04.1.p035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068824731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20982/tqmp.04.1.p035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068824731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03395630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090384154", 
          "https://doi.org/10.1007/bf03395630"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-03", 
    "datePublishedReg": "2016-03-01", 
    "description": "Allocation of attentional resources rests on predictions about the likelihood of events. While this effect has been extensively studied in the spatial attention domain where the location of a target stimulus is pre-cued, less is known about the cueing of stimulus features such as the color of a behaviorally relevant target. Moreover, there is disagreement about which types of color cues are effective for biasing attention. Here we investigated the effects of probabilistic context (percentage of cue validity, %CV) for different levels of cue abstraction to elucidate how feature-based search information is processed and used to direct attention. The color of a target was cued by presenting the perceptual color, the color word, or two-letter abbreviations. %CV, i.e., the probability that the cue indicated the color correctly, changed unpredictably between 50, 70, and 90%. Response times (RTs) for valid and invalid trials in each %CV condition were recorded in 60 datasets and analyzed with analyses of variance. The results showed that all cues were associated with comparable RT costs after invalid cueing. The modulation of RT costs by probabilities, however, depended upon level of cue abstraction and time on task: While a strong, immediate impact of %CV was found for two-letter cueing, the effect was solely observed in the second half of the experiment for perceptual and word cues. These results demonstrate that probabilistic feature-based information is processed differently for different levels of cue abstraction. Moreover, the modulatory effect of the environmental statistics differentially depends on the time on task for different feature cues.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00221-015-4487-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1005581", 
        "issn": [
          "0014-4819", 
          "1432-1106"
        ], 
        "name": "Experimental Brain Research", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "234"
      }
    ], 
    "name": "The impact of probabilistic feature cueing depends on the level of cue abstraction", 
    "pagination": "685-694", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a3bf3db57d699927be38bbcb900329f4b93aab5e032ce11909ebf05cf92ef6f8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26586268"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0043312"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00221-015-4487-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034374657"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00221-015-4487-2", 
      "https://app.dimensions.ai/details/publication/pub.1034374657"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:29", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000533.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00221-015-4487-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00221-015-4487-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00221-015-4487-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00221-015-4487-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00221-015-4487-2'


 

This table displays all metadata directly associated to this object as RDF triples.

248 TRIPLES      21 PREDICATES      75 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00221-015-4487-2 schema:about N07fe6b055d9e4ebf8dafa79bcd9dcb66
2 N2c68152e1027401d9acf9a25137dfa22
3 N320d916d84404aff8011d97dd6934dc2
4 N48be8118ff2245019fe49959c56a7efb
5 N5ee24a5aa21d46ab803f4a96d2691fd6
6 N97c7e978f8d4477989e5e1bf325244ee
7 Na27dac717a0349eeb61109d4699b2e76
8 Nac538e978be547e8a9bcca5c367f3002
9 Naf102cce37a74bb88e12efdca717f22f
10 Nbf7c7f4066e348389efdef6cc63471a7
11 Nc9b9350cce0e42188af6de6e91205676
12 Nd2aa6d6caa904a55a6e027aabac4dccd
13 Ne97047448f9143d2b240bfe8d2b1cad8
14 anzsrc-for:17
15 anzsrc-for:1701
16 schema:author N1a654a210f614655a920cf3eb5c20a69
17 schema:citation sg:pub.10.1007/bf03395630
18 sg:pub.10.1007/s00426-008-0203-1
19 sg:pub.10.1038/nn1954
20 sg:pub.10.3758/bf03193557
21 sg:pub.10.3758/bf03205506
22 sg:pub.10.3758/bf03211368
23 sg:pub.10.3758/s13414-011-0231-6
24 sg:pub.10.3758/s13414-014-0720-5
25 sg:pub.10.3758/s13423-012-0240-z
26 sg:pub.10.3758/s13423-013-0507-z
27 https://doi.org/10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1
28 https://doi.org/10.1002/hbm.21196
29 https://doi.org/10.1006/nimg.2001.0790
30 https://doi.org/10.1016/j.actpsy.2010.05.004
31 https://doi.org/10.1016/j.neuroscience.2005.10.005
32 https://doi.org/10.1016/s1053-8119(03)00162-9
33 https://doi.org/10.1017/s003329170005159x
34 https://doi.org/10.1037/0033-2909.109.2.163
35 https://doi.org/10.1037/0096-1523.15.2.315
36 https://doi.org/10.1037/0096-1523.33.6.1335
37 https://doi.org/10.1037/0096-3445.131.2.220
38 https://doi.org/10.1037/a0020364
39 https://doi.org/10.1080/00335558008248231
40 https://doi.org/10.1093/cercor/bhs418
41 https://doi.org/10.1098/rstb.2013.0055
42 https://doi.org/10.1371/journal.pone.0015554
43 https://doi.org/10.1371/journal.pone.0015555
44 https://doi.org/10.1523/jneurosci.0091-14.2014
45 https://doi.org/10.1523/jneurosci.1262-08.2008
46 https://doi.org/10.1523/jneurosci.3591-08.2008
47 https://doi.org/10.20982/tqmp.04.1.p035
48 https://doi.org/10.3389/fnhum.2013.00685
49 https://doi.org/10.3389/fpsyg.2015.00117
50 schema:datePublished 2016-03
51 schema:datePublishedReg 2016-03-01
52 schema:description Allocation of attentional resources rests on predictions about the likelihood of events. While this effect has been extensively studied in the spatial attention domain where the location of a target stimulus is pre-cued, less is known about the cueing of stimulus features such as the color of a behaviorally relevant target. Moreover, there is disagreement about which types of color cues are effective for biasing attention. Here we investigated the effects of probabilistic context (percentage of cue validity, %CV) for different levels of cue abstraction to elucidate how feature-based search information is processed and used to direct attention. The color of a target was cued by presenting the perceptual color, the color word, or two-letter abbreviations. %CV, i.e., the probability that the cue indicated the color correctly, changed unpredictably between 50, 70, and 90%. Response times (RTs) for valid and invalid trials in each %CV condition were recorded in 60 datasets and analyzed with analyses of variance. The results showed that all cues were associated with comparable RT costs after invalid cueing. The modulation of RT costs by probabilities, however, depended upon level of cue abstraction and time on task: While a strong, immediate impact of %CV was found for two-letter cueing, the effect was solely observed in the second half of the experiment for perceptual and word cues. These results demonstrate that probabilistic feature-based information is processed differently for different levels of cue abstraction. Moreover, the modulatory effect of the environmental statistics differentially depends on the time on task for different feature cues.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf Nc3c0d70452c047a184488744151dcd41
57 Ndfb4ceb7bd8b4de89d7d41e80f4ed059
58 sg:journal.1005581
59 schema:name The impact of probabilistic feature cueing depends on the level of cue abstraction
60 schema:pagination 685-694
61 schema:productId N0c1d45a276a84fad970739aa3490eb60
62 N4106ce9c12ad45298cf545d094335823
63 N89b8ff2540d94adfae7ac64ce028a742
64 N99dce75742e942f59728f28fdbbd28d5
65 Nb7b6582bebf742828c32e38985323815
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034374657
67 https://doi.org/10.1007/s00221-015-4487-2
68 schema:sdDatePublished 2019-04-10T23:29
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher N63c1a117f889420eadad31e43bbaac71
71 schema:url http://link.springer.com/10.1007%2Fs00221-015-4487-2
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N07fe6b055d9e4ebf8dafa79bcd9dcb66 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Psychomotor Performance
77 rdf:type schema:DefinedTerm
78 N0c1d45a276a84fad970739aa3490eb60 schema:name dimensions_id
79 schema:value pub.1034374657
80 rdf:type schema:PropertyValue
81 N1a654a210f614655a920cf3eb5c20a69 rdf:first sg:person.01004734407.50
82 rdf:rest N9578c737481c464fb1c0694eaa7e90f9
83 N21fa5b1cb5554c748228d779f09f78cc rdf:first sg:person.0720036437.89
84 rdf:rest rdf:nil
85 N2c68152e1027401d9acf9a25137dfa22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Probability
87 rdf:type schema:DefinedTerm
88 N320d916d84404aff8011d97dd6934dc2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Adult
90 rdf:type schema:DefinedTerm
91 N4106ce9c12ad45298cf545d094335823 schema:name doi
92 schema:value 10.1007/s00221-015-4487-2
93 rdf:type schema:PropertyValue
94 N48be8118ff2245019fe49959c56a7efb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Male
96 rdf:type schema:DefinedTerm
97 N5ee24a5aa21d46ab803f4a96d2691fd6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Eye Movements
99 rdf:type schema:DefinedTerm
100 N63c1a117f889420eadad31e43bbaac71 schema:name Springer Nature - SN SciGraph project
101 rdf:type schema:Organization
102 N89b8ff2540d94adfae7ac64ce028a742 schema:name readcube_id
103 schema:value a3bf3db57d699927be38bbcb900329f4b93aab5e032ce11909ebf05cf92ef6f8
104 rdf:type schema:PropertyValue
105 N9578c737481c464fb1c0694eaa7e90f9 rdf:first sg:person.01071124046.71
106 rdf:rest N21fa5b1cb5554c748228d779f09f78cc
107 N97c7e978f8d4477989e5e1bf325244ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Attention
109 rdf:type schema:DefinedTerm
110 N99dce75742e942f59728f28fdbbd28d5 schema:name pubmed_id
111 schema:value 26586268
112 rdf:type schema:PropertyValue
113 Na27dac717a0349eeb61109d4699b2e76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 Nac538e978be547e8a9bcca5c367f3002 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Adolescent
118 rdf:type schema:DefinedTerm
119 Naf102cce37a74bb88e12efdca717f22f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Photic Stimulation
121 rdf:type schema:DefinedTerm
122 Nb7b6582bebf742828c32e38985323815 schema:name nlm_unique_id
123 schema:value 0043312
124 rdf:type schema:PropertyValue
125 Nbf7c7f4066e348389efdef6cc63471a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Young Adult
127 rdf:type schema:DefinedTerm
128 Nc3c0d70452c047a184488744151dcd41 schema:issueNumber 3
129 rdf:type schema:PublicationIssue
130 Nc9b9350cce0e42188af6de6e91205676 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Female
132 rdf:type schema:DefinedTerm
133 Nd2aa6d6caa904a55a6e027aabac4dccd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Reaction Time
135 rdf:type schema:DefinedTerm
136 Ndfb4ceb7bd8b4de89d7d41e80f4ed059 schema:volumeNumber 234
137 rdf:type schema:PublicationVolume
138 Ne97047448f9143d2b240bfe8d2b1cad8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Cues
140 rdf:type schema:DefinedTerm
141 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
142 schema:name Psychology and Cognitive Sciences
143 rdf:type schema:DefinedTerm
144 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
145 schema:name Psychology
146 rdf:type schema:DefinedTerm
147 sg:journal.1005581 schema:issn 0014-4819
148 1432-1106
149 schema:name Experimental Brain Research
150 rdf:type schema:Periodical
151 sg:person.01004734407.50 schema:affiliation https://www.grid.ac/institutes/grid.8385.6
152 schema:familyName Dombert
153 schema:givenName Pascasie L.
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01004734407.50
155 rdf:type schema:Person
156 sg:person.01071124046.71 schema:affiliation https://www.grid.ac/institutes/grid.411097.a
157 schema:familyName Fink
158 schema:givenName Gereon R.
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071124046.71
160 rdf:type schema:Person
161 sg:person.0720036437.89 schema:affiliation https://www.grid.ac/institutes/grid.8385.6
162 schema:familyName Vossel
163 schema:givenName Simone
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720036437.89
165 rdf:type schema:Person
166 sg:pub.10.1007/bf03395630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090384154
167 https://doi.org/10.1007/bf03395630
168 rdf:type schema:CreativeWork
169 sg:pub.10.1007/s00426-008-0203-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007466869
170 https://doi.org/10.1007/s00426-008-0203-1
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nn1954 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053677811
173 https://doi.org/10.1038/nn1954
174 rdf:type schema:CreativeWork
175 sg:pub.10.3758/bf03193557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040343147
176 https://doi.org/10.3758/bf03193557
177 rdf:type schema:CreativeWork
178 sg:pub.10.3758/bf03205506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024970122
179 https://doi.org/10.3758/bf03205506
180 rdf:type schema:CreativeWork
181 sg:pub.10.3758/bf03211368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038478489
182 https://doi.org/10.3758/bf03211368
183 rdf:type schema:CreativeWork
184 sg:pub.10.3758/s13414-011-0231-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012031710
185 https://doi.org/10.3758/s13414-011-0231-6
186 rdf:type schema:CreativeWork
187 sg:pub.10.3758/s13414-014-0720-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034592756
188 https://doi.org/10.3758/s13414-014-0720-5
189 rdf:type schema:CreativeWork
190 sg:pub.10.3758/s13423-012-0240-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1012062956
191 https://doi.org/10.3758/s13423-012-0240-z
192 rdf:type schema:CreativeWork
193 sg:pub.10.3758/s13423-013-0507-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1052560124
194 https://doi.org/10.3758/s13423-013-0507-z
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1002/1097-4679(199511)51:6<768::aid-jclp2270510607>3.0.co;2-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017432481
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1002/hbm.21196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039587618
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1006/nimg.2001.0790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028618538
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.actpsy.2010.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016738895
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.neuroscience.2005.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004535836
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s1053-8119(03)00162-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046632216
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1017/s003329170005159x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053834502
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1037/0033-2909.109.2.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045056747
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1037/0096-1523.15.2.315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047282239
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1037/0096-1523.33.6.1335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047616780
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1037/0096-3445.131.2.220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056368457
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1037/a0020364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022460991
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1080/00335558008248231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002574304
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1093/cercor/bhs418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014620746
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1098/rstb.2013.0055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046267396
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1371/journal.pone.0015554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021694811
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1371/journal.pone.0015555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019683883
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1523/jneurosci.0091-14.2014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006673704
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1523/jneurosci.1262-08.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018553458
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1523/jneurosci.3591-08.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043143771
235 rdf:type schema:CreativeWork
236 https://doi.org/10.20982/tqmp.04.1.p035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068824731
237 rdf:type schema:CreativeWork
238 https://doi.org/10.3389/fnhum.2013.00685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046906178
239 rdf:type schema:CreativeWork
240 https://doi.org/10.3389/fpsyg.2015.00117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033287104
241 rdf:type schema:CreativeWork
242 https://www.grid.ac/institutes/grid.411097.a schema:alternateName University Hospital Cologne
243 schema:name Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Leo-Brandt-Str. 5, 52425, Juelich, Germany
244 Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
245 rdf:type schema:Organization
246 https://www.grid.ac/institutes/grid.8385.6 schema:alternateName Forschungszentrum Jülich
247 schema:name Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, Leo-Brandt-Str. 5, 52425, Juelich, Germany
248 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...