Towards development of self-learning and self-modification spiking neural network as model of brain

In this paper novel architecture of artificial intelligence based on spike neural networks is proposed. This architecture includes some perception, some action modules and control module supervising learning of others. Control module is based on generation and learning to generate basic emotions: positive and negative. These emotions are supervising learning and behavior of whole system.