Speaker, Language Cluster, Cognitive Science

Phone: +49-(0)331-977-2950 | Fax: - 2087 | Email: vasishth squiggle uni minus potsdam dot de

GPG public key, Orcid ID, google scholar, github, bitbucket, statistics blog, vasishth lab blog

Postdoc: Lena Jäger

Curriculum Vitae

Publications (with Data + Code)

Regular teaching staff in my group (apart from me): Dr. Lena Jäger, Bruno Nicenboim, Dario Paape.

The following courses are taught regularly:

- Current issues in sentence comprehension. AM (undergrad program), and MSc Linguistics and EMCL (cross-listed).
- Introduction to statistical data analysis. MSc Linguistics, IECL, EMCL, IDEALAB programs.
- Linear Modeling. MSc Cognitive Systems, MSc Linguistics.
- Foundations of Mathematics. (MSc Cognitive Systems, MSc Linguistics, Foundations Module 1), Mondays 14-16.
- Advanced Data Analysis for Psycholinguistics. MSc Cognitive Systems, MSc Linguistics (Module MM6), Mondays 10-12.
- Multivariate data analysis. MSc Cognitive Science, MSc Cognitive Systems, MSc Linguistics (coming from winter 2016).

- ESSLLI 2015, Barcelona, Spain, August 3-14, Introductory and advanced courses on statistical inference (two weeks, ten lectures). Details here.
- Tokyo University (visiting professor) Oct-Dec 2015: 9 lectures, 2 hrs 25 minutes each.
- ESSLLI 2016, Bolzano, 15-19 August. Felix Engelmann and I will be teaching a course: Sentence Comprehension as a Cognitive Process: A Computational Modeling Approach.

- A meta-analysis of relative clause processing in Mandarin Chinese using bias modelling, MSc thesis (2015), Shravan Vasishth, School of Mathematics and Statistics, University of Sheffield, UK.
- Bayesian Linear Mixed Models using Stan: A tutorial for psychologists, linguists, and cognitive scientists; by Sorensen, Hohenstein, and Vasishth.
- Statistical methods for linguistic research: Foundational Ideas - Part I, by Shravan Vasishth and Bruno Nicenboim. Accompanying code.
- Statistical methods for linguistic research: Foundational Ideas - Part II, by Bruno Nicenboim and Shravan Vasishth. ArXiv preprint.
- Parsimonious Mixed Models, by Bates, Kliegl, Vasishth and Baayen. ArXiv preprint.
- Balancing Type I Error and Power in Linear Mixed Models, by Matuschek, Kliegl, Vasishth, Baayen, Bates. ArXiv preprint.
- Out of the Cage of Shadows , by Baayen, Vasishth, Bates, and Kliegl. ArXiv preprint.

- The original Lewis and Vasishth 2005 ACT-R model of sentence processing: see here.
- The current ACT-R model for sentence processing: code by Felix Engelmann; see here.
- Shiny app to accompany Engelmann, Jaeger, Vasishth paper (submitted).
- ACT-R parsing module, code by Felix Engelmann
- R package em2: code by Pavel Logačev; see here.
- R package scasim: code by Titus von der Malsburg; see here.
- R package saccades: code by Titus von der Malsburg; see here.
- Python software EyeScript for running eyetracking experiments: code co-developed with Rick Lewis' lab; see here.
- Python software py-span-task for working memory tasks: code by Titus von der Malsburg; see here.