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In the paper a novel model of Key-Threshold based Spiking Neural Network (KTSNN) is proposed. This neural network consists of quasi-neurons oriented to recognize any key-spikes distributed in time (sequence of spikes) or in space (in synapses). Every neuron aims to recognize key (template of spikes) stored in its memory and to react by output spike at successfully detection. Software implementation...
One of most perspective and popular area of neural networks is neuromorphic computing dealing with development of brain-like spike neural networks oriented on hardware implementation. Such neural networks will provide replacement of computers with Von Neumann architecture in such fields as computer vision and control of autonomous robots. In this paper we suggest one model of spike integrate and fire...
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