@inproceedings {2008,
	title = {Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks},
	booktitle = {From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008)},
	series = {Lecture Notes in Computer Science (LNCS)},
	volume = { 5040},
	year = {2008},
	month = {07/2008},
	pages = {148{\textendash}158},
	publisher = {Springer, Berlin, Heidelberg},
	organization = {Springer, Berlin, Heidelberg},
	address = {Osaka, Japan},
	abstract = {We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different overlapping chemicals having varying concentrations. The neural network controls the agent by encoding its sensory information as temporal coincidences in a low concentration environment, and as firing rates at high concentration. With such an architecture, we could study synchronization of firing in a simple manner and see its effect on the agent{\textquoteright}s behaviour.},
	isbn = {978-3-540-69134-1},
	doi = {10.1007/978-3-540-69134-1_15},
	url = {http://link.springer.com/chapter/10.1007/978-3-540-69134-1_15},
	author = {Oros, Nicolas and Volker Steuber and Davey, Neil and Lola Ca{\~n}amero and Roderick G Adams},
	editor = {Asada, Minoru and Hallam, John C T and Jean-Arcady Meyer and Tani, Jun}
}
