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Detection of one-, two-, and three-dimensional Markov constraints in visual displays

dc.contributor.authorPollack, Irwinen_US
dc.date.accessioned2006-04-17T16:27:09Z
dc.date.available2006-04-17T16:27:09Z
dc.date.issued1971-05en_US
dc.identifier.citationPollack, Irwin (1971/05)."Detection of one-, two-, and three-dimensional Markov constraints in visual displays." Acta Psychologica 35(3): 219-232. <http://hdl.handle.net/2027.42/33659>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V5T-45RC59K-6C/2/9e40c478b654f59855eac0777b177209en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/33659
dc.description.abstractOne-, two- and three-dimensional Markov constraints were introduced into visual displays by a common method. To obtain three-dimensional displays, two-dimensional spatially-encoded displays were presented successively in time. Following random initialization, all additional display elements were generated by rule. With non-probabilistic rules, sequences with horizontal (X) constraint, or with vertical (Y) constraint, alone were easily detected. Sequences with temporal (T) constraint alone, and with two-dimensional constraints in XY, XT, and YT, also were detected. Three-dimensional XYT constraints, however, could only be detected at chance level. Discrimination thresholds with probabilistic rules also show the relative superiority of one- over two-dimensional constraints. One- and two-dimensional constraints in T are sensitive to the rate of presentation of successive displays, whether memory is carried by the display or by the eye.en_US
dc.format.extent762695 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleDetection of one-, two-, and three-dimensional Markov constraints in visual displaysen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumMental Health Research Institute, University of Michigan, Ann Arbor, Mich., U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/33659/1/0000169.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0001-6918(71)90023-0en_US
dc.identifier.sourceActa Psychologicaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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