Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-24T21:03:53.141Z Has data issue: false hasContentIssue false
  • English
  • Français

Vertical and veridical – 2.5-dimensional visual and vestibular navigation

Published online by Cambridge University Press:  08 October 2013

David M. W. Powers
David M. W. Powers*
Affiliation:
CSEM Centre for Knowledge and Interaction Technology, Flinders University, Adelaide, SA 5001, Australia. [email protected]://flinders.edu.au/people/David.Powers
Get access Rights & Permissions [Opens in a new window]

Abstract

Does the psychological and neurological evidence concerning three-dimensional localization and navigation fly in the face of optimality? This commentary brings a computational and robotic engineering perspective to the question of “optimality” and argues that a multicoding manifold model is more efficient in several senses, and is also likely to extend to “volume-travelling” animals, including birds or fish.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 5 , October 2013 , pp. 562 - 563
Copyright
Copyright © Cambridge University Press 2013 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Cockburn, A. & McKenzie, B. (2001) 3D or not 3D? Evaluating the effect of the third dimension in a document management system. In: ed. Beaudouin-Lafon, M. & Jacob, R. J. K., Proceedings of CHI'2001, Conference on Human Factors in Computing Systems, pp. 434–41. ACM Press.Google Scholar
Cockburn, A. & McKenzie, B. (2002) Evaluating the effectiveness of spatial memory in 2D and 3D physical and virtual environments. In: ed. Terveen, L., Proceedings of CHI'2002, Conference on Human Factors in Computing Systems, pp. 203–10. ACM Press.Google Scholar
Marr, D. (1982) Vision. A computational investigation into the human representation and processing of visual information. W.H. Freeman.Google Scholar
von der Malsburg, C. (1973) Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14:85–100.Google Scholar