@inproceedings {2008,
	title = {Optimal Noise in Spiking Neural Networks for the Detection of Chemicals by Simulated Agents},
	booktitle = {Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems},
	year = {2008},
	month = {08/2008},
	pages = {443{\textendash}449},
	publisher = {MIT Press},
	organization = {MIT Press},
	address = {Winchester, UK},
	abstract = {We created a spiking neural controller for an agent that could use two different types of information encoding strategies depending on the level of chemical concentration present in the environment. The first goal of this research was to create a simulated agent that could react and stay within a region where there were two different overlapping chemicals having uniform concentrations. The agent was controlled by a spiking neural network that encoded sensory information using temporal coincidence of incoming spikes when the level of chemical concentration was low, and as firing rates at high level of concentration. With this architecture, we could study synchronization of firing in a simple manner and see its effect on the agent{\textquoteright}s behaviour. The next experiment we did was to use a more realistic model by having an environment composed of concentration gradients and by adding input current noise to all neurons. We used a realistic model of diffusive noise and showed that it could improve the agent{\textquoteright}s behaviour if used within a certain range. Therefore, an agent with neuronal noise was better able to stay within the chemical concentration than an agent without.},
	isbn = {978-0-262-75017-2},
	url = {https://mitpress-request.mit.edu/sites/default/files/titles/alife/0262287196chap58.pdf},
	author = {Oros, Nicolas and Volker Steuber and Davey, Neil and Lola Ca{\~n}amero and Roderick G Adams},
	editor = {Seth Bullock and Jason Noble and Richard A. Watson and Mark A Bedau}
}
@inproceedings {2008,
	title = {Optimal Receptor Response Functions for the Detection of Pheromones by Agents Driven by Spiking Neural Networks},
	booktitle = {Proc. 9th European Meeting on Cybernetics and Systems Research, Vol. II},
	year = {2008},
	month = {03/2008},
	pages = {427{\textendash}432},
	publisher = {Austrian Society for Cybernetic Studies},
	organization = {Austrian Society for Cybernetic Studies},
	address = {Vienna, Austria},
	abstract = {The goal of the work presented here is to find a model of a spiking sensory neuron that could cope with small variations in the concentration of simulated chemicals and also the whole range of concentrations. By using a biologically plausible sigmoid function in our model to map chemical concentration to current, we could produce agents able to detect the whole range of concentration of chemicals (pheromones) present in the environment as well as small variations of them. The sensory neurons used in our model are able to encode the stimulus intensity into appropriate firing rates.},
	isbn = {978-3-85206-175-7},
	url = {http://www.cogsci.uci.edu/~noros/mypapers/OROS_2008_EMCSR.pdf},
	author = {Oros, Nicolas and Volker Steuber and Davey, Neil and Lola Ca{\~n}amero and Roderick G Adams},
	editor = {Trappl, R}
}
