Quick Search:

uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive

Einhäuser, W; Moeller, G U; Schumann, F; Conradt, J; Vockeroth, J; Bartl, K; Schneider, E; König, P (2009). Eye-head coordination during free exploration in human and cat. Annals of the New York Academy of Sciences, 1164(1):353-366.

Full text not available from this repository.

View at publisher

Abstract

Eye, head, and body movements jointly control the direction of gaze and the stability of retinal images in most mammalian species. The contribution of the individual movement components, however, will largely depend on the ecological niche the animal occupies and the layout of the animal's retina, in particular its photoreceptor density distribution. Here the relative contribution of eye-in-head and head-in-world movements in cats is measured, and the results are compared to recent human data. For the cat, a lightweight custom-made head-mounted video setup was used (CatCam). Human data were acquired with the novel EyeSeeCam device, which measures eye position to control a gaze-contingent camera in real time. For both species, analysis was based on simultaneous recordings of eye and head movements during free exploration of a natural environment. Despite the substantial differences in ecological niche, photoreceptor density, and saccade frequency, eye-movement characteristics in both species are remarkably similar. Coordinated eye and head movements dominate the dynamics of the retinal input. Interestingly, compensatory (gaze-stabilizing) movements play a more dominant role in humans than they do in cats. This finding was interpreted to be a consequence of substantially different timescales for head movements, with cats' head movements showing about a 5-fold faster dynamics than humans. For both species, models and laboratory experiments therefore need to account for this rich input dynamic to obtain validity for ecologically realistic settings.

Citations

5 citations in Web of Science®
5 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

0 downloads since deposited on 01 Mar 2010
0 downloads since 12 months

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
DDC:570 Life sciences; biology
Language:English
Date:2009
Deposited On:01 Mar 2010 10:55
Last Modified:27 Nov 2013 20:56
Publisher:Wiley-Blackwell
ISSN:0077-8923
Publisher DOI:10.1111/j.1749-6632.2008.03709.x
Related URLs:http://www.ini.uzh.ch/node/19526 (Organisation)
PubMed ID:19645927

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page