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Titus von der Malsburg
PeerJ Author & Reviewer
170 Points

Contributions by role

Author 135
Reviewer 35
Preprint Feedback 15
Questions 5

Contributions by subject area

Neuroscience
Cognitive Disorders
Psychiatry and Psychology
Statistics
Human-Computer Interaction
Social Computing
Programming Languages
Software Engineering

By Q&A topic

Human-computer-interaction
Social-computing
Programming-languages
Software-engineering

Titus von der Malsburg

PeerJ Author & Reviewer

Summary

I investigate how the human brain makes sense of language and how the eyes navigate the text during reading. For this research I use a wide range of experimental and computational methods such as the co-registration of eye movements and electric brain potentials, large-scale crowd sourcing, Bayesian data modelling, and scanpath analyses.

Computational Linguistics Natural Language & Speech Neuroscience Psychiatry & Psychology

Past or current institution affiliations

MIT
Universität Potsdam

Work details

Researcher

University of Potsdam
October 2018
Department Lingusitics

Research Affiliate

Massachusetts Institute of Technology
April 2017
Brain and Cognitive Sciences

Websites

  • GitHub
  • ORCID
  • Personal homepage

PeerJ Contributions

  • Articles 1
  • Reviewed 1
  • Feedback 1
  • Questions 1
December 17, 2020
The effect of decay and lexical uncertainty on processing long-distance dependencies in reading
Kate Stone, Titus von der Malsburg, Shravan Vasishth
https://doi.org/10.7717/peerj.10438 PubMed 33362963

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

April 1, 2020
Interaction effects of aging, word frequency, and predictability on saccade length in Chinese reading
Zhifang Liu, Wen Tong, Yongqiang Su
https://doi.org/10.7717/peerj.8860 PubMed 32274270

Provided feedback on

27 Jul 2015

Problems in using text-mining and p-curve analysis to detect rate of p-hacking

Good point about ghost variables and the p-curve. Unfortunately, things are even worse than you describe. In reading research, it is common to test dozens of dependent variables...

1 Question

1
Conclusions about effect of avatar and gender bias
about Gender differences and bias in open source: Pull request acceptance of women versus men