InterJournal Complex Systems, 1996
Status: Submitted
Manuscript Number: [1996]
Submission Date: 70828
How music evokes emotions and suppresses EEG chaotic dynamics
Author(s): Igor Yevin

Subject(s): CX.41

Category: Brief Article


Recent researches revealed that music reduces the degree of chaos in brain waves. A.Loskutov, A.Hubler, and others carried out a series of studies concerning control of deterministic chaotic systems. It turned out, that carefully chosen tiny perturbation could stabilize any of unstable periodic orbits making up a strange attractor. V.Bondarenko shown in computer experiments a possibility to control a chaotic behavior in neural network by external periodic pulsed force or sinusoidal force. Low-dimensional outputs are observed when the frequency of the external force is close to delta-, theta-, alpha-, and beta frequencies. We suggest that music acts on the brain near these eigenfrequencies of self-excited oscillations in the neural network to suppress chaos. We explain the structure of music tonalities using concept of attractor network model. Three stable steps of tonality: tonic, median, and dominant are keynotes or attractors of neural network model. We proposed that there are relations among eigenfrequences and such instinctive behaviors as food, fear, sex, aggression. This assumption is supported by A.Blood and R.Zatorre experiment that music involves the brain regions such as ventral stratum, midbrain, amygdala that are connected with such biologically relevant stimuli as food, sex and others. In conclusion a possible mechanism of resonance influence of musical notes on eigenfrequences of a brain is discussed.

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