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Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
(2008)
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 ...
Receptor response and soma leakiness in a simulated spiking neural controller for a robot
(INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)
This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus ...