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Title:Modelling place memory in crickets
Authors: Michael Mangan ; Barbara Webb
Date:Oct 2009
Publication Title:journal
Publisher:Biological Cybernetics
Publication Type:Journal Article Publication Status:Published
Volume No:101 Page Nos:307-323
DOI:10.1007/s00422-009-0338-1 ISBN/ISSN:1432-0770
Insects can remember and return to a place of interest using the surrounding visual cues. In previous experiments, we showed that crickets could home to an invisible cool spot in a hot environment. They did so most effectively with a natural scene surround, though they were also able to home with distinct landmarks or blank walls. Homing was not successful, however, when visual cues were removed through a dark control. Here, we compare six different models of visual homing using the same visual environments. Only models deemed biologically plausible for use by insects were implemented. The average landmark vector model and first order differential optic flow are unable to home better than chance in at least one of the visual environments. Second order differential optic flow and GradDescent on image differences can home better than chance in all visual environments, and best in the natural scene environment, but do not quantitatively match the distributions of the cricket data. Two models centre of mass average landmark vector and RunDown on image differences could produce the same pattern of results as observed for crickets. Both the models performed best using simple binary images and were robust to changes in resolution and image smoothing.
2009 by The University of Edinburgh. All Rights Reserved
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Bibtex format
author = { Michael Mangan and Barbara Webb },
title = {Modelling place memory in crickets},
journal = {journal},
publisher = {Biological Cybernetics},
year = 2009,
month = {Oct},
volume = {101},
pages = {307-323},
doi = {10.1007/s00422-009-0338-1},

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