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J. Stankiewicz and B. Webb
field commensurate with a translatory optic flow matched filter have remained
elusive in comparison to their rotational counterparts [7].
In future we aim to replace the magnetometer heading sensor with a biologically plausible sky compass [4]. We also need to consider a biologically plausible
mechanism for height estimation as this appears to be necessary information for
accurate PI. An alternative approach would be to implement an optic flow regulated autopilot [9], although this may not compensate for different visual terrain
observed on the inbound route versus the outbound route. We suggest that further neurophysiological investigation of the CX speed cells (TN) using stimuli
representing surfaces moving directly below the animal at different depths would
also provide significant insight into this question.
References
1. Farneb¨ ack, G.: Two-frame motion estimation based on polynomial expansion.
In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 363–370.
Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-45103-X 50
2. Franz, M.O., Krapp, H.G.: Wide-field, motion-sensitive neurons and matched filters
for optic flow fields. Biol. Cybern. 83(3), 185–197 (2000). https://doi.org/10.1007/
s004220000163
3. von Frish, K.: The Dance Language and Orientation of Bees. Oxford University
Press, London (1967). https://doi.org/10.4159/harvard.9780674418776
4. Gkanias, E., Risse, B., Mangan, M., Webb, B.: From skylight input to behavioural
output: a computational model of the insect polarised light compass. PLOS Comput. Biol. 15(7), 1–30 (2019). https://doi.org/10.1371/journal.pcbi.1007123
5. Homberg, U., Heinze, S., Pfeiffer, K., Kinoshita, M., El Jundi, B.: Central neural
coding of sky polarization in insects. Philos. Trans. R. Soc. B: Biol. Sci. 366(1565),
680–687 (2011)
6. Kohn, J.R., Heath, S.L., Behnia, R.: Eyes matched to the prize: the state of
matched filters in insect visual circuits. Front. Neural Circ. 12, 26 (2018)
7. Longden, K.D., Wicklein, M., Hardcastle, B.J., Huston, S.J., Krapp, H.G.: Spike
burst coding of translatory optic flow and depth from motion in the fly visual
system. Curr. Biol. 27(21), 3225–3236.e3 (2017). https://doi.org/10.1016/j.cub.
2017.09.044
8. Seelig, J.D., Jayaraman, V.: Neural dynamics for landmark orientation and angular
path integration. Nature 521(7551), 186–191 (2015)
9. Serres, J.R., Ruffier, F.: Optic flow-based collision-free strategies: from insects
to robots. Arthropod Struct. Dev. 46(5), 703–717 (2017). https://doi.org/10.
1016/j.asd.2017.06.003. http://www.sciencedirect.com/science/article/pii/S14678
0391730066X
10. Srinivasan, M., Lehrer, M., Kirchner, W., Zhang, S.: Range perception through
apparent image speed in freely flying honeybees. Vis. Neurosci. 6, 519–535 (1991).
https://doi.org/10.1017/S095252380000136X
11. Stone, T., et al.: An anatomically constrained model for path integration in the
bee brain. Curr. Biol. 27(20), 3069–3085.e11 (2017). https://doi.org/10.1016/j.
cub.2017.08.052
12. Tammero, L.F., Dickinson, M.H.: The influence of visual landscape on the free
flight behavior of the fruit fly drosophila melanogaster. J. Exp. Biol. 205(3), 327–
343 (2002). https://jeb.biologists.org/content/205/3/327
J. Stankiewicz and B. Webb
field commensurate with a translatory optic flow matched filter have remained
elusive in comparison to their rotational counterparts [7].
In future we aim to replace the magnetometer heading sensor with a biologically plausible sky compass [4]. We also need to consider a biologically plausible
mechanism for height estimation as this appears to be necessary information for
accurate PI. An alternative approach would be to implement an optic flow regulated autopilot [9], although this may not compensate for different visual terrain
observed on the inbound route versus the outbound route. We suggest that further neurophysiological investigation of the CX speed cells (TN) using stimuli
representing surfaces moving directly below the animal at different depths would
also provide significant insight into this question.
References
1. Farneb¨ ack, G.: Two-frame motion estimation based on polynomial expansion.
In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 363–370.
Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-45103-X 50
2. Franz, M.O., Krapp, H.G.: Wide-field, motion-sensitive neurons and matched filters
for optic flow fields. Biol. Cybern. 83(3), 185–197 (2000). https://doi.org/10.1007/
s004220000163
3. von Frish, K.: The Dance Language and Orientation of Bees. Oxford University
Press, London (1967). https://doi.org/10.4159/harvard.9780674418776
4. Gkanias, E., Risse, B., Mangan, M., Webb, B.: From skylight input to behavioural
output: a computational model of the insect polarised light compass. PLOS Comput. Biol. 15(7), 1–30 (2019). https://doi.org/10.1371/journal.pcbi.1007123
5. Homberg, U., Heinze, S., Pfeiffer, K., Kinoshita, M., El Jundi, B.: Central neural
coding of sky polarization in insects. Philos. Trans. R. Soc. B: Biol. Sci. 366(1565),
680–687 (2011)
6. Kohn, J.R., Heath, S.L., Behnia, R.: Eyes matched to the prize: the state of
matched filters in insect visual circuits. Front. Neural Circ. 12, 26 (2018)
7. Longden, K.D., Wicklein, M., Hardcastle, B.J., Huston, S.J., Krapp, H.G.: Spike
burst coding of translatory optic flow and depth from motion in the fly visual
system. Curr. Biol. 27(21), 3225–3236.e3 (2017). https://doi.org/10.1016/j.cub.
2017.09.044
8. Seelig, J.D., Jayaraman, V.: Neural dynamics for landmark orientation and angular
path integration. Nature 521(7551), 186–191 (2015)
9. Serres, J.R., Ruffier, F.: Optic flow-based collision-free strategies: from insects
to robots. Arthropod Struct. Dev. 46(5), 703–717 (2017). https://doi.org/10.
1016/j.asd.2017.06.003. http://www.sciencedirect.com/science/article/pii/S14678
0391730066X
10. Srinivasan, M., Lehrer, M., Kirchner, W., Zhang, S.: Range perception through
apparent image speed in freely flying honeybees. Vis. Neurosci. 6, 519–535 (1991).
https://doi.org/10.1017/S095252380000136X
11. Stone, T., et al.: An anatomically constrained model for path integration in the
bee brain. Curr. Biol. 27(20), 3069–3085.e11 (2017). https://doi.org/10.1016/j.
cub.2017.08.052
12. Tammero, L.F., Dickinson, M.H.: The influence of visual landscape on the free
flight behavior of the fruit fly drosophila melanogaster. J. Exp. Biol. 205(3), 327–
343 (2002). https://jeb.biologists.org/content/205/3/327