Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Tim Schürmann

1PUBLICATIONS

0CO-AUTHORS

Computational physiology

Featured researcher

Get your video featured.

Publish with JoVE

Featured researcher

Get your video featured.

Publish with JoVE

Publications (1)

Sort by Publication Date:

|Aug 23, 2019

The Bayesian causal inference model benefits from an informed prior to predict proprioceptive drift in the rubber foot illusion.

Tim Schürmann, Joachim Vogt, Oliver Christ

Pageof 1

Frequent Collaborators

Frequent Collaborators

Top Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on : Oct 27, 2016

See more related videos

Top Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on : Oct 27, 2016

See more related videos