B03
Modelling the connection between eye-movement control, sentence processing, and brain signals
PI(s): Prof. Dr. Shravan Vasishth & Prof. Dr. Ralf Engbert & Prof. Dr. Milena Rabovsky
This project extends our previous mathematical modelling of the integration of eye-movement control and syntactic processing to include electrophysiological indicators during reading. We work with a process-oriented model in which prediction of behaviour is implemented at the level of individual subjects. As a long-term goal, we plan to also include neural processes in the model via electrophysiological markers to obtain a well-founded theoretical explanation of the dynamics of natural reading comprehension and its connection with individually variable eye movements and event-related potentials.
in phase 1:
Modelling the interaction between eye-movement control and parsing processes
PI(s): Prof. Dr. Ralf Engbert & Prof. Dr. Shravan Vasishth
This project aims to develop mathematical/computational models to investigate how eye movements and natural language parsing processes influence and interact with each other. Based on novel experimental designs and an integrated modeling approach, we will seek to explain how the dynamical interaction of subprocesses (vision, attention, parsing, sensorimotor control) generates the observed variability in language processing between and within participants under varying task demands.
Members
Publications
- Peer-Reviewed: Papers, Journals, Books, Articles of the CRC
- Talk or Presentation: Talks, Presentations, Posters of the CRC
- SFB-Related: not produced in connection with the CRC, but are thematically appropriate
- Other: Papers, Journals, Books, Articles of the CRC, but not peer-reviewed
| Author(s) | Title | Year | Published in | Links |
|---|---|---|---|---|
| Vasishth, S., Nicenboim, B., Engelmann, F., & Burchert, F. | Computational models of retrieval processes in sentence processing. | 2019 | Trends in Cognitive Sciences, 23(11), 968–982. DOI: 10.1016/j.tics.2019.09.003 | |
| Chandra, J., Krügel, A., & Engbert, R. | Experimental test of Bayesian saccade targeting under reversed reading direction. | 2019 | Attention, Perception, & Psychophysics, 82, 1230-1240. DOI: 10.3758/s13414-019-01814-4 | |
| 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. | 2021 | Psychological Review, 128(5), 803–823. DOI: 10.1037/rev0000268 | |
| 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. | 2020 | Journal of Mathematical Psychology, 95, 102313. DOI: 10.1016/j.jmp.2019.102313 | |
| Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D. J. | hypr: An R package for hypothesis-driven contrast coding. | 2020 | The Journal of Open Source Software, 5(48), 2134. DOI: 10.21105/joss.02134 | |
| Engelmann, F., Jäger, L. A., & Vasishth, S. | The effect of prominence and cue association in retrieval processes: A computational account. | 2019 | Cognitive Science, 43, e12800. DOI: 10.1111/cogs.12800 | |
| Vasishth, S., Mertzen, D., Jäger, L.A., & Gelman, A. | The statistical significance filter leads to overoptimistic expectations of replicability. | 2018 | Journal of Memory and Language, 103, 151-175. DOI: 10.1016/j.jml.2018.07.004 | |
| Jäger, L. A., Mertzen, D., Van Dyke, J. A., & Vasishth, S. | Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study. | 2020 | Journal of Memory and Language, 111, 104063. DOI: 10.1016/j.jml.2019.104063 | |
| Vasishth, S. | Using Approximate Bayesian Computation for estimating parameters in the cue-based retrieval model of sentence processing. | 2020 | MethodsX, 7, 100850. DOI: 10.1016/j.mex.2020.100850 | |
| Paape, D., Vasishth, S., & Engbert, R. | Does Local Coherence Lead to Targeted Regressions and Illusions of Grammaticality? | 2021 | Open Mind (2022) 5: 42–58. DOI: 10.1162/opmi_a_00041 | |
| Yadav, H., Smith, G., Reich, S., & Vasishth, S. | Number feature distortion modulates cue-based retrieval in reading. | 2023 | Journal of Memory and Language, 129, 104400. DOI: 10.1016/j.jml.2022.104400 | |
| Engbert, R., Rabe, M. M., Schwetlick, L., Seelig, S. A., Reich, S., & Vasishth, S. | Data assimilation in dynamical cognitive science. | 2022 | Trends in Cognitive Sciences, 26(2), 99-102. DOI: 10.1016/j.tics.2021.11.006 | |
| Mertzen, D., Paape, D., Dillon, B. W., Engbert, R., & Vasishth, S. | Syntactic and semantic interference in sentence comprehension: Support from English and German eye-tracking data. | 2023 | Glossa: Psycholinguistics, 2(1), 8, 1-48. DOI: 10.5070/G60111266 | |
| Mertzen, D., Laurinavichyute, A., Dillon, B. W., Engbert, R., & Vasishth, S. | Crosslinguistic evidence against interference from extra-sentential distractors | 2024 | Journal of Memory and Language, 137, 104514. DOI: 10.1016/j.jml.2024.104514 |