@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} }