Abstract:

Modern sciences studying the brain are based on the stochastic study of the function of the brain´s neural networks or individual neurons. At the same time, neuroscience is dominated by the dogma of statistical repetition of any neural network parameters samples. However, back in 1948 W. Weaver brought all living systems beyond stochastics. Currently, the Eskov-Zinchenko effect in biomechanics has been proven, which also applied to the bioelectric activity of the brain. As a result, a big problem arises in the accurate assessment of electroencephalograms, which are also used in the "man-machine" system. An analogue of the Heisenberg principle in the form of calculating the parameters of pseudo-attractors is proposed.

Keywords: stochastics, chaos, uncertainty, complexity, Eskov-Zinchenko effect