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Trans-saccadic integration of peripheral and foveal feature information is close to optimal

Wolf, Christian ; SchĂĽtz, Alexander C.

Originalveröffentlichung: (2015) Journal of Vision 15(16):1 doi:10.1167/15.16.1
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URN: urn:nbn:de:hebis:26-opus-120080

Freie Schlagwörter (Englisch): trans-saccadic perception , optimal integration , maximum-likelihood estimation , peripheral vision , foveal vision
Sammlung: Open Access - Publikationsfonds
Universität Justus-Liebig-Universität GieĂźen
Institut: Abteilung Allgemeine Psychologie
Fachgebiet: Psychologie
DDC-Sachgruppe: Psychologie
Dokumentart: Aufsatz
Sprache: Englisch
Erstellungsjahr: 2015
Publikationsdatum: 22.03.2016
Kurzfassung auf Englisch: Due to the inhomogenous visual representation across the visual field, humans use peripheral vision to select objects of interest and foveate them by saccadic eye movements for further scrutiny. Thus, there is usually peripheral information available before and foveal information after a saccade. In this study we investigated the integration of information across saccades. We measured reliabilities — i.e., the inverse of variance — separately in a presaccadic peripheral and a postsaccadic foveal orientation-discrimination task. From this, we predicted trans-saccadic performance and compared it to observed values. We show that the integration of incongruent peripheral and foveal information is biased according to their relative reliabilities and that the reliability of the trans-saccadic information equals the sum of the peripheral and foveal reliabilities. Both results are consistent with and indistinguishable from statistically optimal integration according to the maximum-likelihood principle. Additionally, we tracked the gathering of information around the time of the saccade with high temporal precision by using a reverse correlation method. Information gathering starts to decline between 100 and 50 ms before saccade onset and recovers immediately after saccade offset. Altogether, these findings show that the human visual system can effectively use peripheral and foveal information about object features and that visual perception does not simply correspond to disconnected snapshots during each fixation.
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