A Spiking Model of Desert Ant Navigation Along a Habitual Route
- 193 Downloads
A model producing behavior mimicking that of a homing desert ant while approaching the nest along a habitual route is presented. The model combines two strategies that interact with each other: local vector navigation and landmark guidance with an average landmark vector. As a multi-segment route with several waypoints is traversed, local vector navigation is mainly used when leaving a waypoint, landmark guidance is mostly used when approaching a waypoint, and a weighted interplay of the two is used in between waypoints. The model comprises a spiking neural network that is developed based on the principles of the Neural Engineering Framework. Its performance is demonstrated with a simulated robot in a virtual environment, which is shown to successfully navigate to the final waypoint in different scenes.
KeywordsSpiking neural networks Neural Engineering Framework Insect navigation
- 5.Collett, M.: How desert ants use a visual landmark for guidance along a habitual route. In: Proceedings of the National Academy of Sciences U.S.A., vol. 107, pp. 11638–11643 (2010). https://doi.org/10.1073/pnas.1001401107
- 8.Eliasmith, C., Anderson, C.: Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems. MIT Press, Cambridge (2003)Google Scholar
- 10.Rohmer, E., Singh, S.P.N., Freese, M.: V-REP: a versatile and scalable robot simulation framework. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1321–1326, Tokyo (2013). https://doi.org/10.1109/IROS.2013.6696520
- 12.Stewart, T.C., Choo, X., Eliasmith, C.: Dynamic behaviour of a spiking model of action selection in the basal ganglia. In: Salvucci, D.D., Gunzelmann, G. (eds.) Proceedings of the 10th International Conference on Cognitive Modeling, pp. 235–240, Philadelphia (2010)Google Scholar