Modelling place memory in crickets |
| |
Authors: | Michael Mangan and Barbara Webb |
| |
Institution: | (1) ARC Centre of Excellence in Vision Science and Centre for Visual Sciences, Research School of Biology, The Australian National University, Biology Place, 2601 Canberra, ACT, Australia;(2) Department of Neurobiology and Center of Excellence ‘Cognitive Interaction Technology’, Bielefeld University, Bielefeld, Germany |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|