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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
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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 

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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