Precision and Reliability in Animal Navigation

Bulletin of Mathematical Biology

Volumn 73, Issue 5, 2011, Pages 951-977

  Pfuhl, G ^a   Tjelmeland, H ^a   Biegler, R ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Ambiguity; Bayesian computation; Error compensation; Search; Uncertainty

Indexed keywords

ALGORITHM; ANIMAL; APPETITE; ARTICLE; ASSOCIATION; BAYES THEOREM; BIOLOGICAL MODEL; COMPUTER SIMULATION; EPIDEMIOLOGY; ORIENTATION; PHYSIOLOGY; POPULATION MIGRATION; PROBABILITY; STATISTICAL DISTRIBUTION; UNCERTAINTY;

ALGORITHMS; ANIMAL MIGRATION; ANIMALS; APPETITIVE BEHAVIOR; BAYES THEOREM; BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; CUES; MODELS, BIOLOGICAL; ORIENTATION; PROBABILITY; STATISTICAL DISTRIBUTIONS; UNCERTAINTY;

ANIMALIA;

EID: 79953676623     PISSN: 00928240     EISSN: 15229602     Source Type: Journal    
DOI: 10.1007/s11538-010-9547-y     Document Type: Article

References (57)

1. Atkins, J. E., Fiser, J., & Jacobs, R. A. (2001). Experience-dependent visual cue integration based on consistencies between visual and haptic percepts. Vis. Res., 41, 449-461.
2. Biegler, R. (2000). Possible uses of path integration in animal navigation. Anim. Learn. Behav., 28(3), 257-277.
3. Biegler, R. (2006). Functional considerations in animal navigation: how do you use what you know? In M. F. Brown & R. G. Cook (Eds.), Animal spatial cognition: comparative, neural, and computational approaches. [On-line]. Available: www. pigeon. psy. tufts. edu/asc/biegler/.
4. Biegler, R., & Morris, R. G. M. (1996). Landmark stability: further studies pointing to a role in spatial learning. Q. J. Exp. Psychol., 49B(4), 307-345.
5. Bisetzky, A. R. (1957). Die Tänze der Bienen nach einem Fussweg zum Futterplatz. Z. Vgl. Physiol., 40, 264-288.
6. Chapuis, N., & Varlet, C. (1987). Short cuts by dogs in natural surroundings. Q. J. Exp. Psychol., 35B, 213-219.
7. Chapuis, N., Thinus-Blanc, C., & Poucet, B. (1983). Dissociation of mechanisms involved in dogs' oriented displacements. Q. J. Exp. Psychol., 35B, 213-219.
8. Cheng, K. (1988). Some psychophysics of the pigeon's use of landmarks. J. Comp. Physiol. A, 162, 815-826.
9. Cheng, K. (1990). More psychophysics of the pigeon's use of landmarks. J. Comp. Physiol. A, 166, 857-863.
10. Cheng, K., Collett, T. S., Pickhard, A., & Wehner, R. (1987). The use of visual landmarks by honey bees: Bees weight landmarks according to their distance from the goal. J. Comp. Physiol. A, 161, 469-475.
11. Cheng, K., Shettleworth, S. J., et al. (2007). Bayesian integration of spatial information. Psychol. Bull., 133(4), 625-637.
12. Chittka, L., & Geiger, K. (1995a). The influences of landmarks on distance estimation of honey bees. Anum. Behav., 50, 23-31.
13. Chittka, L., & Geiger, K. (1995b). Honeybee long-distance orientation in a controlled environment. Ethology, 99, 117-126.
14. Dayan, P., & Yu, A. (2003). Uncertainty and learning. IETE J. Res., 49(2-3), 171-181.
15. Dall, S. R. X., Giraldeau, L. A., Olsson, O., McNamara, J. M., & Stephens, D. W. (2005). Information and its use by animals in evolutionary ecology. Trends Ecol. Evol., 20(4), 187-193.
16. Ellsberg, D. (1961). Risk, ambiguity, and the Savage axioms. Q. J. Econ., 75, 643-669.
17. Ernst, M. O. (2006). A Bayesian view on multimodal cue integration. In G. Knoblich, I. M. Thornton, M. Grosjean & M. Shiffrar (Eds.), Human body perception from the inside out (pp. 105-131). Oxford: Oxford University Press.
18. Ernst, M. O. (2007). Learning to integrate arbitrary signals from vision and touch. J. Vis., 7(5), 1-14.
19. Ernst, M. O., & Banks, M. (2002). Humans integrate visual and haptic information in a statistically optimal fashion. Nature, 415, 429-433.
20. Etienne, A. S., Teroni, E., Hurni, C., & Portennier, V. (1990). The effect of a single light cue on homing behaviour of the golden hamster. Anim. Behav., 39, 17-41.
21. Gatty, H. (1999). Finding your way without map or compass. Mineola: Dover.
22. Gothard, K. M., Skaggs, W. E., & McNaughton, B. L. (1996). The dynamics of mismatch correction in the hippocampal ensemble code for space: interaction between path integration and environmental cues. J. Neurosci., 16(24), 8027-8040.
23. Hampton, R. R. (2003). Metacognition as evidence for explicit representation in nonhumans. Behav. Brain Sci., 26, 346-347.
24. Hartmann, G., & Wehner, R. (1995). The ant's path integration system: a neural architecture. Biol. Cybern., 73, 483-497.
25. Healy, S. D., Hurly, T. A. (1998). Rufous hummingbirds' (Selasphorus rufus) memory for flowers: patterns or actual spatial locations? J. Exp. Psychol., Anim. Behav. Process., 24(4), 396-404.
26. Huettel, S. A., Stowe, C. J., Gordon, E. A., Warner, B. T., & Platt, M. L., (2006). Neural signatures of economic preferences for risk and ambiguity. Neuron, 49, 765-775.
27. Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 310, 1680-1683.
28. Inglis, I. R. (2000). The central role of uncertainty reduction in determining behaviour. Behaviour, 137, 1567-1599.
29. Jacobs, R. A. (2002). What determines visual cue reliability? Trends Cogn. Sci., 6(8), 345-350.
30. Jazayeri, M., & Movshon, J. A. (2006). Optimal representation of sensory information by neural populations. Nat. Neurosci., 9(5), 690-696.
31. Jeffery, K. J. (1998). Learning of landmark stability and instability by hippocampal place cells. Neuropharmacology, 37(4-5), 677-687.
32. Kamil, A. C., & Jones, J. E. (1997). The seed-storing corvid Clark's nutcracker learns geometric relationships among landmarks. Nature, 390, 276-279.
33. Knierim, J. J., Kudrimoti, H. S., & McNaughton, B. L. (1995). Place cells, head direction cells, and the learning of landmark stability. J. Neurosci., 15(3), 1648-1659.
34. Knill, D. C. (2007). Robust cue integration: a Bayesian model and evidence from cue-conflict studies with stereoscopic and figure cues to slant. J. Vis., 7(7).
35. Koerding, K. P., & Wolpert, D. M. (2004). Bayesian integration in sensorimotor learning. Nature, 427, 244-247.
36. Koops, M. A. (2004). Reliability and the value of information. Anim. Behaviour, 67, 103-111.
37. Ma, W. J., Beck, J. M., Latham, P. E., & Pouget, A. (2006). Bayesian inference with probabilistic population codes. Nat. Neurosci., 9(11), 1432-1438.
38. Mackintosh, J. H. (1973). Factors affecting the recognition of territory boundaries by mice (Mus musculus). Anim. Behav., 21, 464-470.
39. Maybeck, P. S. (1979). Stochastic models, estimation and control. New York: Academic Press.
40. Moser, E., & Moser, M. B. (2008). A metric for space. Hippocampus, 18(12), 1142-1156.
41. Müller, M., & Wehner, R. (1988). Path integration in desert ants, Cataglyphis fortis. Proc. Natl. Acad. Sci. USA, 85, 5287-5290.
42. Nardini, M., Jones, P., Bedford, R., & Braddick, O. (2008). Development of cue integration in human navigation. Curr. Biol., 18, 689-693.
43. O'Keefe, J., & Burgess, N. (1996). Geometric determinants of the place fields of hippocampal neurons. Nature, 381, 425-428.
44. Pfuhl, G., Tjelmeland, H., & Biegler, R. (2009). Optimal cache search depends on precision of spatial memory and pilfering, but what if that knowledge is not perfect? Anim. Behav., 78, 819-828.
45. Roach, N. W., Heron, J., & et al. (2006). Resolving multisensory conflict: a strategy for balancing the costs and benefits of audio-visual integration. Proc. R. Soc. B, Biol. Sci., 273(1598), 2159-2168.
46. Roberts, A. D. L., & Pearce, J. M. (1998). Control of spatial behavior by an unstable landmark. J. Exp. Psychol. Anim. Behav. Process., 24(2), 172-184.
47. Rotenberg, A., & Muller, R. U. (1997). Variable place-cell coupling to a continuously viewed stimulus: evidence that the hippocampus acts as a perceptual system. Philos. Trans. R. Soc. Lond. B, 352, 1505-1513.
48. Sato, Y., Toyoizumi, T., & Aihara, K. (2007). Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli. Neur. Comput., 19, 3335-3355.
49. Séguinot, V., Maurer, R., & Etienne, A. S. (1993). Dead reckoning in a small mammal: the evaluation of distance. J. Comp. Physiol. A, 173, 103-113.
50. Seyfarth, E. A., Hergenröder, R., Ebbes, H., & Barth, F. G. (1982). Idiothetic orientation of a wandering spider: compensation of detours and estimates of global distance. Behav. Ecol. Sociobiol., 11, 139-148.
51. Shettleworth, S. J., & Sutton, J. E. (2003). Animal metacognition? It's all in the menthods. Behav. Brain Sci., 26, 353-354.
52. Smith, J. D., Shields, W. E., & Washburn, D. A. (2003). The comparative psychology of uncertainty monitoring and metacognition. Behav. Brain Sci., 26, 317-373.
53. Stephens, D. W. (1989). Variance and the value of information. Am. Nat., 134(1), 128-140.
54. Wehner, R., & Srinivasan, M. V. (1981). Searching behaviour of desert ants, genus Cataglyphis (Formicidae, Hymenoptera). J. Comp. Physiol., 142, 315-338.
55. Wolf, H., & Wehner, R. (2000). Pinpointing food sources: olfactory and anemotactic orientation in desert ants, cataglyphis bicolour. J. Exp. Biol., 203, 857-868.
56. Wolf, H., & Wehner, R. (2005). Desert ants compensate for navigation uncertainty. J. Exp. Biol., 208, 4223-4230.
57. Yu, A. J., & Dayan, P. (2003). Expected and unexpected uncertainty. Ach and NE in the neocortex. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems 17 (pp. 1577-1584). Cambridge: MIT Press.