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Evolution of bilateral symmetry in agents controlled by spiking neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that ...
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural ...
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents
(MIT Press, 2008)
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 ...
Encoding sensory information in spiking neural network for the control of autonomous agents
(2008)
The goal of the work presented here was to find a model of a spiking sensory neuron that could cope with small variations of a simulated pheromone concentration and also the whole range of concentrations. We tried many ...