Liquid state machine and its separation ability as function of electrical parameters of cell

Large artificial Hodgkin–Huxley neural networks are examined. The structures discussed in this article simulate a part of the cortex of the mammalian visual system. We use a modular architecture of the cortex divided into sub-regions. Results of parallel simulations based on the liquid computing theory are presented in some detail. Separation ability of groups of neural microcircuits is observed. We check if such property depends on electrical parameters of particular cells. Properties Liquid State Machine's are derived from the types of neurons used for simulations. They are compared and discussed to some extent.