Quantum Mechanical Approach to Electrophysiology

Abstract

for the last 100-120 years of studying the brain, nerves, muscles biopotential generation they were described as stochastic processes. The discovery of the Eskov–Zinchenko effect (stochastic instability of any homeostatic system sample datasets) makes it impossible to apply stochastic laws to electrophysiology. We can define biopotentials with their magnitude x₁ as the first phase coordinate and their variation rate x₂=dx₁/dt as the second coordinate. In such a 2D phase space, we defined an analog to the famous Heisenberg uncertainly principle (for ∆x₁ and ∆x₂ variation ranges). We also present the similarities between electrophysiology and quantum mechanics. We suggested to estimate the properties of pseudo-attractors in the 2D phase space of biopotentials (for the x (t) = (x₁,x₂)^T vector) instead of the statistical f(x) functions.