Back to search

Article

A Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path Integration

2017-09-20

Abstract excerpt

<h4>ABSTRACT</h4> Path integration is a navigation strategy by which animals track their position by integrating their self-motion velocity over time. To identify the computational origins of bias in visual path integration, we asked human subjects to navigate in a virtual environment using optic flow, and found that they generally travelled beyond the goal location. Such a behaviour could stem from leaky integra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
54a00225-c92d-5917-bdab-32489c0c644e
DOI
10.1101/191817
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Dynamic Bayesian Observer Model Reveals Origins of Bias in Visual Path IntegrationDOI 10.1101/191817
Select a neighboring publication to make it the new centre.