Using Spiking Neural Networks for Light Spot Tracking
In this paper, the authors introduces a new method for automatically compensating the light spot displacement from the normal position in laser spot trackers. The method is based on hardware implementation of the spiking neural networks which provides fast response due to real time operation and ability to learn unsupervised when they are stimulated by concurrent events. To validate this method, they implemented in hardware a spiking neural network structure able to process the input from a photodiode array and to control a positioning system. The performance of the neural network that is based on an electronic neuron of biological inspiration was tested using the output of the photodiode array placed in strait line.