Sonderforschungsbereich 1287 - Die Grenzen der Variabilität in der Sprache: Kognitive, komputationale und grammatische Aspekte

B03

Modellierung der Relation von Blicksteuerung, syntaktischer Verarbeitung und Hirnsignalen

PI(s): Prof. Dr. Shravan Vasishth & Prof. Dr. Ralf Engbert & Prof. Dr. Milena Rabovsky

Dieses Projekt erweitert unsere bisherige mathematische Modellierung der Integration von Augenbewegungen und syntaktischer Verarbeitung um elektrophysiologische Indikatoren während des Lesens. Wir stützen uns dabei auf ein prozessorientiertes Modell, in dem Prädiktion von Verhalten auf der Ebene einzelner Individuen implementiert ist. Als langfristiges Ziel planen wir, auch die neuronalen Prozesse mittels elektrophysiologischer Marker in das Modell einzubeziehen, um eine theoretisch fundierte Erklärung der Dynamik des natürlichen Leseverständnisses und dessen Relation mit individuell variablen Blickbewegungen und ereigniskorrelierten Potentialen zu erlangen.

MitarbeiterInnen

Arkhipova

Yana Arkhipova

Universität PotsdamCampus GolmDepartment PsychologieKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 4.0914476 Potsdam
Engbert

Prof. Dr. Ralf Engbert

Universität PotsdamCampus GolmDepartment PsychologieKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 4.0314476 Potsdam
(+49) 331 977-2140E-MailLink
Rabe

Maximilian Michael Rabe

Universität PotsdamCampus GolmDepartment PsychologieKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 4.0214476 Potsdam
(+49) 331 977-2127E-MailLink
Rabovsky

Prof. Dr. Milena Rabovsky

Universität PotsdamCampus GolmDepartment PsychologieKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 4.3714476 Potsdam
(+49) 331 977-2703E-MailLink
Smith

Dr. phil. Garrett Smith

Universität PotsdamCampus GolmDepartment LinguistikKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 2.3614476 Potsdam
Vasishth

Prof. Dr. Shravan Vasishth

Universität PotsdamCampus GolmDepartment LinguistikKarl-Liebknecht-Strasse 24-25, Haus 14, Raum 2.3414476 Potsdam
(+49) 331 977-2457E-MailLink

Publikationen

Author(s)TitleYearPublished inDOILinksTypeProject
Vasishth, S., Nicenboim, B., Engelmann, F. & Burchert, F.Computational models of retrieval processes in sentence processing.2019Trends in Cognitive Sciences, 23(11), 968–982.LinkPaper Data CodePeer-ReviewedB02, B03
Chandra, J., Krügel, A. & Engbert, R.Experimental test of Bayesian saccade targeting under reversed reading direction.2019Attention, Perception, & Psychophysics, 82, 1230-1240.LinkPaper Data CodePeer-ReviewedB03
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., Vasishth, S. & Engbert, R.A Bayesian Approach to dynamical modeling of eye-movement control in reading normal, mirrored, and scrambled texts.2021Psychological Review, 128(5), 803–823.LinkPaper Data CodePeer-ReviewedB03
Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Risse, S., Reich, S. & Engbert, R.Bayesian parameter estimation for the SWIFT model of eye-movement control during reading.2020Journal of Mathematical Psychology, 95, 102313.LinkPaper Data CodePeer-ReviewedB03
Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R. & Schad, D. J.hypr: An R package for hypothesis-driven contrast coding.2020The Journal of Open Source Software, 5(48), 2134.LinkPaper CodePeer-ReviewedB03, Q
Engelmann, F., Jäger, L. A. & Vasishth, S.The effect of prominence and cue association in retrieval processes: A computational account.2019Cognitive Science, 43: e12800.LinkPaper Data CodePeer-ReviewedB03, Q
Vasishth, S., Mertzen, D., Jäger, L.A. & Gelman, A.The statistical significance filter leads to overoptimistic expectations of replicability.2018Journal of Memory and Language, 103, 151-175.LinkPaper Data CodePeer-ReviewedB03, Q
Jäger, L. A., Mertzen, D., Van Dyke, J. A. & Vasishth, S.Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study.2020Journal of Memory and Language, 111, 104063.LinkPaper Data CodePeer-ReviewedB03, Q
Vasishth, S.Using Approximate Bayesian Computation for estimating parameters in the cue-based retrieval model of sentence processing.2020MethodsX, 7: 100850.LinkPaper Data CodePeer-ReviewedB03, Q
Mertzen, D., Laurinavichyute, A., Dillon, B. W., Engbert, R. & Vasishth, S. A cross-linguistic investigation of proactive, similarity-based retrieval interference in sentence comprehension: No support form English, German and Russian eye-tracking data.2020PsyArXiv Preprints.LinkOtherB03
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A., Vasishth, S. & Engbert, R.A Bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts.2019PsyArXiv Preprints.LinkOtherB03
Mertzen, D., Dillon, B. W., Laurinavichyute, A. & Vasishth, S.A cross-linguistic investigation of similarity-based interference and depth of processing in English and German.2019Poster presented at the Architectures and Mechanisms of Language Processing (AMLaP 2019), Moscow, Russia. 06 - 08 September.Paper Talk or PresentationB03
Mertzen, D., Laurinavichyute, A., Dillon, B. W. & Vasishth, S. A pre-registered large-sample investigation of similarity-based interference in English, German and Russian.2020Paper presented at the 33rd Annual CUNY Human Sentence Processing Conference University of Massachusetts, Amherst, MA, USA. 19 - 21 March.Paper Talk or PresentationB03
Rabe, M. M.Eye-movement control during reading: Bayesian parameter inference of the dynamical SWIFT model.2019Invited talk at the University of Victoria, Victoria, BC, Canada. 01 November.Talk or PresentationB03
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A. & Engbert, R.Bayesian inference of dynamical cognitive and oculomotor processes in the SWIFT model of reading.2019Poster presented at the 60th Annual Meeting of the Psychonomic Society, Montréal, QC, Canada. 14 - 17 November.Paper Talk or PresentationB03
Rabe, M. M., Chandra, J., Krügel, A., Seelig, S. A. & Engbert, R.Bayesian inference of the SWIFT model: Reading mirrored, scrambled, and normal texts.2019Poster presented at the 20th European Conference on Eye Movements (ECEM 20), Alicante, Spain. 18 - 22 August.Paper Talk or PresentationB03
Seelig, S. A., Rabe, M. M., Malem-Shinitski, N., Reich, S. & Engbert, R. Bayesian parameter estimation for the SWIFT model of eye-movement control during reading.2019Poster presented at the Conference on Cognitive Computational Neuroscience (CCN) 2019, Technical University of Berlin, Berlin, Germany. 13 - 16 September.Paper Talk or PresentationB03
Vasishth, S.Prenominal relatives clauses in Mandarin: Implications for theories of sentence processing.2019Invited talk at the GK Colloquium, Institut für Linguistik, Goethe-Universität Frankfurt, Frankfurt, Germany. 14 MayTalk or PresentationB02, B03, Q
Vasishth, S.Is pre-registration a bad idea or a very bad idea?2019Invited talk at the Humboldt-Universität zu Berlin, Berlin, Germany. 24 January.Talk or PresentationB02, B03, Q
Paape, D., Vasishth, S. & Engbert, R.Does Local Coherence Lead to Targeted Regressions and Illusions of Grammaticality?2021Open Mind (2022) 5: 42–58.LinkPaper Peer-ReviewedB03
Vasishth, S. & Engelmann, F.Sentence Comprehension as a Cognitive Process: A Computational Approach.2021Cambridge: Cambridge University Press.SFB-RelatedB03, Q