A correlational analysis of electroencephalograms based on the modeling of biopotentials of the cerebral cortex
| Autor: | B. V. Bakharev |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Neocortex Quantitative Biology::Neurons and Cognition medicine.diagnostic_test Mathematical analysis Biophysics Electroencephalography Stability (probability) Integral equation Convolution 03 medical and health sciences Nonlinear system symbols.namesake 030104 developmental biology Additive white Gaussian noise medicine.anatomical_structure Harmonic function medicine symbols Mathematics |
| Zdroj: | Biophysics. 61:670-674 |
| ISSN: | 1555-6654 0006-3509 |
| Popis: | Our previous study on the quantitative nonlinear analysis of integral equations of the averaged membrane potentials in excitatory (the EEG analogue) and inhibitory neurons of the neocortex has shown that the characteristic equation has a set of oscillating solutions with negative decrements in the stability region. We have shown that an electroencephalogram can be represented as a convolution of harmonic functions with negative decrements and discrete (uniformly discontinuous) white Gaussian noise. We have suggested methods of decrement calculation in encephalograms using correlation functions and tested them on both modeled processes with preset parameters and actual encephalograms of rats and mice. Investigation of decrements and amplitude-frequency parameters potentially increases the capacity of spectral correlation analysis of electroencephalograms and expands the results of mathematical processing of brain signals. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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