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| Wittlinger, M., Wolf, H., Wehner, R.: (2007): |
id 35 |
| Hair plate mechanoreceptors associated with body segments are not necessary for three-dimensional path integration in desert ants, Cataglyphis fortis |
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| Nørgaard, T., Henschel, J.R., Wehner, R. (2007): |
id 36 |
| Use of local cues in the night-time navigation of the wandering
desert spider Leucorchestris arenicola (Araneae, Sparassidae) |
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| Narendra A., Cheng K., Wehner R.: (2007): |
id 37 |
| Acquiring, retaining and integrating memories of the outbound distance in the
Australian desert ant Melophorus bagoti |
| The Journal of Experimental Biology 210, 570-577 |
| ABSTRACT |  | ZORA | |
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| Wehner, R.,Fukushi, T.,Isler, K.: (2007): |
id 38 |
| On Being Small: Brain Allometry in Ants |
| Brain Behav Evol 2007;69:220-228 |
| ZORA | |
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| Grah, G., Wehner, R. and Ronacher, B. (2007): |
id 88 |
| Desert ants do not acquire and use a three-dimensional vector. |
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| Hegedüs, R., Åkesson, S., Wehner, R. and Horvath, G. (2007): |
id 89 |
| Could Vikings have navigated under foggy and cloudy conditions by skylight polarization? On the atmospheric optical prerequisites of polarimetric Viking navigation under foggy and cloudy skies. |
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| Müller, M. and Wehner, R. (2007): |
id 90 |
| Wind and sky as compass cues in desert ant navigation |
| Naturwissenschaften (2007) 94, 589-594 |
| ABSTRACT | | ZORA | |
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| Wehner, R. (2007): |
id 91 |
| The desert ant's navigational toolkit: procedural rather than positional knowledge. |
| Proceedings of the 63rd Annual Meeting of the Institute of Navigation 2007:1-14, April 23 - 25, Cambridge, Massachusetts |
| ABSTRACT | ZORA | |
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Abstract:
ABSTRACT
Desert ants, Cataglyphis in North Africa and Melophorus in central Australia, exhibit amazing feats of navigation. This essay will focus on the architecture of the insect’s navigational toolkit. It will cover four main topics: First,
vector navigation (path integration, PI) is the ant’s major means of navigation at least in so far as it is running all the time while the animal is on its foraging journey, irrespective of whether landmark-based systems of navigation are expressed as well, or are even dominating the insect’s behaviour. The path integrator relies on the simultaneous input from a compass and an odometer. Both tools of navigation have been studied extensively in Cataglyphis and are briefly summarized. In fact, among all animal navigators studied so far the insect’s skylight
compass is the module of navigation that has been worked out best in neurophysiological terms. It has been computer simulated and implemented into an autonomous agent (Sahabot). The ant’s odometer – actually a stride integrator, or pedometer – computes distances covered along two- and three-dimensional paths, in the latter by
projecting the 3-D path on to a 2-D plane. Second, while foraging within cluttered environments desert ants can learn a number of different routes, discriminate between inbound and outbound routes and follow these routes
independently of the state of their path integrator (landmark-based route navigation, LN). If displaced to near-by locations, they rejoin a habitual route at any one point at which they come to hit it. Among the quite impressive amount of route memories which an ant is able to acquire, at any one time the proper memory is retrieved by a combination of internal (motivational) as well as external cues, and the proper route is selected. Third, PI and LN represent quite separate modules of navigation. PI
is used to establish LN, but once established, LN can work independently of PI. In particular experimental paradigms this independence can lead to astonishingly aberrant behaviour. However, both systems might employ similar neural stratagems in so far as in either system information acquired during an animal’s foraging trip (a reference vector in PI and a stored sequence of visual and motor memories in LN) is later, on subsequent trips, continuously compared with currently incoming information (the current PI vector and the current sensorymotor data in LN). The ant moves so as to continually reduce the mismatch between reference “templates” on the
one side and current sensory inputs and motor outputs on the other. Fourth, desert ants use the information provided by their PI and LN systems in a strictly cue-dependent procedural way rather than by acquiring and using a cartographical representation, or survey map, of their foraging terrain. Even if Cataglyphis moves along novel
routes (a behavioural performance always regarded as "the" operational criterion indicative of using map information), it does so by memorizing different PI vectors and by merely matching current vector states to downloaded reference vectors. Following procedures rather than computing spatial positions is the insect’s way
of navigation. |
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| Wittlinger, M., Wehner, R. and Wolf, H. (2007): |
id 92 |
| The desert ant odometer: a stride integrator that accounts for stride length and walking speed. |
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