Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
| Title | Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2008 |
| Authors | Oros, N, Steuber, V, Davey, N, Cañamero, L, Adams, RG |
| Editor | Asada, M, Hallam, JCT, Meyer, J-A, Tani, J |
| Name of Proceedings | From Animals to Animats 10: Proc. 10th International Conference on Simulation of Adaptive Behavior (SAB 2008) |
| Series Title | Lecture Notes in Computer Science (LNCS) |
| Series Volume | 5040 |
| Pagination | 148–158 |
| Date Published | 07/2008 |
| Publisher | Springer, Berlin, Heidelberg |
| Conference Location | Osaka, Japan |
| ISBN Number | 978-3-540-69134-1 |
| 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’s behaviour. |
| URL | http://link.springer.com/chapter/10.1007/978-3-540-69134-1_15 |
| DOI | 10.1007/978-3-540-69134-1_15 |