We are pleased to announce a review paper on hippocampal volume and navigational ability. Read it here: https://www.sciencedirect.com/science/article/pii/S0149763421001251
New Methods Paper “In Press” at Behavior Research Methods
A manuscript detailing the HSC lab’s Landmarks Unity package has been accepted for publication at Behavior Research Methods. Landmarks provides a flexible, user-friendly way to build 3D, VR-compatible experiments with no programming requirements. View the accepted manuscript or check out the public GitHub repository to learn more about Landmarks. Manuscript link: http://humanspatialcognitionlab.org/wp-content/uploads/2020/09/starrett-etAl_behavResMethods_acceptedMS.pdf GitHub link: https://github.com/mjstarrett/Landmarks
New Research Article comparing computational models of path integration
We are pleased to announce our new paper in PLOS Computational Biology showing the effects of path shape and size on systematic errors. Additionally, we show that the vector addition model captures the trends in behavior more accurately than the encoding error model. Read is here: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007489
POSITION AVAILABLE – Postdoctoral fellowship
The human spatial cognition lab is seeking a postdoc! The Human Spatial Cognition Lab at The University of Arizona Psychology Department is seeking a postdoctoral fellow to work with the PI, Arne Ekstrom, involving fMRI, spatial navigation, and episodic memory. The applicant should have a Ph.D. in neuroscience, psychology, cognitive science, or possibly bioengineering, with relevant past experience in a research lab. Qualified applicants should email adekstrom AT email.arizona.edu for more info and direct any questions about the position to to him as well.
Announcing exciting new findings from the lab testing the importance of body movements in space to navigation!
We are pleased to announce our new paper in Neuron showing that body movements through space are not necessary for the normal expression of neural spatial representations. Intriguingly, our findings suggest that visual input alone may be sufficient for complex spatial representations of large-scale environments. Check it out:https://www.cell.com/neuron/pdfExtended/S0896-6273(19)30696-8