%0 Conference Paper %B From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008) %D 2008 %T Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks %A Oros, Nicolas %A Volker Steuber %A Davey, Neil %A Lola Cañamero %A Roderick G Adams %E Asada, Minoru %E Hallam, John C T %E Jean-Arcady Meyer %E Tani, Jun %X 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’s behaviour. %B From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008) %S Lecture Notes in Computer Science (LNCS) %I Springer, Berlin, Heidelberg %C Osaka, Japan %V 5040 %P 148–158 %8 07/2008 %@ 978-3-540-69134-1 %G eng %U http://link.springer.com/chapter/10.1007/978-3-540-69134-1_15 %R 10.1007/978-3-540-69134-1_15