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

Dr. Titus von der Malsburg will be replacing me during this period as visiting professor (Professurvertretung).

Postdoc: Lena Jäger

Curriculum Vitae

Publications (with Data + Code)

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.

The teaching evaluation the here (maximum possible score is 5). - ESSLLI 2016, Bolzano, 15-19 August. Felix Engelmann and I will be teaching a course: Sentence Comprehension as a Cognitive Process: A Computational Approach.

An upcoming book (Cambridge University Press) with the same title has its own page here.

- 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. 2016. Accepted, Language and Linguistics Compass.
- 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.