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learning. Nat. Neurosci. 11(10), 1177 (2008)
10. Kodzhabashev, A., Mangan, M.: Route following without scanning. In: Wilson,
S.P., Verschure, P.F.M.J., Mura, A., Prescott, T.J. (eds.) LIVINGMACHINES
2015. LNCS (LNAI), vol. 9222, pp. 199–210. Springer, Cham (2015). https://doi.
org/10.1007/978-3-319-22979-9 20
11. Kropf, J., R¨ ossler, W.: In-situ recording of ionic currents in projection neurons and
kenyon cells in the olfactory pathway of the honeybee. PloS One 13(1), e0191425
(2018)
12. Lehrer, M., Srinivasan, M.V., Zhang, S.W., Horridge, G.A.: Motion cues provide
the bee’s visual world with a third dimension. Nature 332(6162), 356–357 (1988)
13. Lowry, S., et al.: Visual place recognition: a survey. IEEE Trans. Robot. 32(1),
1–19 (2015)
14. Milford, M.: Vision-based place recognition: how low can you go? Int. J. Robot.
Res. 32(7), 766–789 (2013)
15. Milford, M.J., Wyeth, G.F.: SeqSLAM: visual route-based navigation for sunny
summer days and stormy winter nights. In: 2012 IEEE International Conference
on Robotics and Automation, pp. 1643–1649. IEEE (2012)
16. Perez-Orive, J., Mazor, O., Turner, G.C., Cassenaer, S., Wilson, R.I., Laurent, G.:
Oscillations and sparsening of odor representations in the mushroom body. Science
297(5580), 359–365 (2002)
17. Posch, C., Serrano-Gotarredona, T., Linares-Barranco, B., Delbruck, T.:
Retinomorphic event-based vision sensors: bioinspired cameras with spiking output. Proc. IEEE 102(10), 1470–1484 (2014). https://doi.org/10.1109/JPROC.
2014.2346153
18. Ramos-Traslosheros, G., Henning, M., Silies, M.: Motion detection: cells, circuits
and algorithms. Neuroforum 24(2), A61–A72 (2018)
19. Schwarz, S., et al.: Route-following ants respond to alterations of the view sequence.
https://jeb-biologists-org.ezproxy.is.ed.ac.uk/content/223/14/jeb218701
20. Srinivasan, M.V., Poteser, M., Kral, K.: Motion detection in insect orientation and
navigation. Vis. Res. 39(16), 2749–2766 (1999)
21. Stone, T., Mangan, M., Ardin, P., Webb, B., et al.: Sky segmentation with ultraviolet images can be used for navigation. In: Robotics: Science and Systems (2014)
22. Tabuchi, M., Inoue, S., Kanzaki, R., Nakatani, K.: Whole-cell recording from
kenyon cells in silkmoths. Neurosci. Lett. 528(1), 61–66 (2012)
23. Walker, C., Graham, P., Philippides, A.: Using deep autoencoders to investigate
image matching in visual navigation. In: Mangan, M., Cutkosky, M., Mura, A.,
Verschure, P.F.M.J., Prescott, T., Lepora, N. (eds.) Living Machines 2017. LNCS
(LNAI), vol. 10384, pp. 465–474. Springer, Cham (2017). https://doi.org/10.1007/
978-3-319-63537-8 39
24. Wystrach, A., Schwarz, S.: Ants use a predictive mechanism to compensate for
passive displacements by wind. Curr. Biol. 23(24), R1083–R1085 (2013)
L. Zhu et al.
8. Groh, C., R¨ ossler, W.: Analysis of synaptic microcircuits in the mushroom bodies
of the honeybee. Insects 11(1), 43 (2020)
9. Ito, I., Ong, R.C., Raman, B., Stopfer, M.: Sparse odor representation and olfactory
learning. Nat. Neurosci. 11(10), 1177 (2008)
10. Kodzhabashev, A., Mangan, M.: Route following without scanning. In: Wilson,
S.P., Verschure, P.F.M.J., Mura, A., Prescott, T.J. (eds.) LIVINGMACHINES
2015. LNCS (LNAI), vol. 9222, pp. 199–210. Springer, Cham (2015). https://doi.
org/10.1007/978-3-319-22979-9 20
11. Kropf, J., R¨ ossler, W.: In-situ recording of ionic currents in projection neurons and
kenyon cells in the olfactory pathway of the honeybee. PloS One 13(1), e0191425
(2018)
12. Lehrer, M., Srinivasan, M.V., Zhang, S.W., Horridge, G.A.: Motion cues provide
the bee’s visual world with a third dimension. Nature 332(6162), 356–357 (1988)
13. Lowry, S., et al.: Visual place recognition: a survey. IEEE Trans. Robot. 32(1),
1–19 (2015)
14. Milford, M.: Vision-based place recognition: how low can you go? Int. J. Robot.
Res. 32(7), 766–789 (2013)
15. Milford, M.J., Wyeth, G.F.: SeqSLAM: visual route-based navigation for sunny
summer days and stormy winter nights. In: 2012 IEEE International Conference
on Robotics and Automation, pp. 1643–1649. IEEE (2012)
16. Perez-Orive, J., Mazor, O., Turner, G.C., Cassenaer, S., Wilson, R.I., Laurent, G.:
Oscillations and sparsening of odor representations in the mushroom body. Science
297(5580), 359–365 (2002)
17. Posch, C., Serrano-Gotarredona, T., Linares-Barranco, B., Delbruck, T.:
Retinomorphic event-based vision sensors: bioinspired cameras with spiking output. Proc. IEEE 102(10), 1470–1484 (2014). https://doi.org/10.1109/JPROC.
2014.2346153
18. Ramos-Traslosheros, G., Henning, M., Silies, M.: Motion detection: cells, circuits
and algorithms. Neuroforum 24(2), A61–A72 (2018)
19. Schwarz, S., et al.: Route-following ants respond to alterations of the view sequence.
https://jeb-biologists-org.ezproxy.is.ed.ac.uk/content/223/14/jeb218701
20. Srinivasan, M.V., Poteser, M., Kral, K.: Motion detection in insect orientation and
navigation. Vis. Res. 39(16), 2749–2766 (1999)
21. Stone, T., Mangan, M., Ardin, P., Webb, B., et al.: Sky segmentation with ultraviolet images can be used for navigation. In: Robotics: Science and Systems (2014)
22. Tabuchi, M., Inoue, S., Kanzaki, R., Nakatani, K.: Whole-cell recording from
kenyon cells in silkmoths. Neurosci. Lett. 528(1), 61–66 (2012)
23. Walker, C., Graham, P., Philippides, A.: Using deep autoencoders to investigate
image matching in visual navigation. In: Mangan, M., Cutkosky, M., Mura, A.,
Verschure, P.F.M.J., Prescott, T., Lepora, N. (eds.) Living Machines 2017. LNCS
(LNAI), vol. 10384, pp. 465–474. Springer, Cham (2017). https://doi.org/10.1007/
978-3-319-63537-8 39
24. Wystrach, A., Schwarz, S.: Ants use a predictive mechanism to compensate for
passive displacements by wind. Curr. Biol. 23(24), R1083–R1085 (2013)