The object of the study is a modified artificial neural network Kropotov, belonging to the class of complex self-organizing systems that demonstrate a well-known universal behavior. The model is able to generate time series, which, being displayed on a sequence of sounds, are perceived by a person as musical. Given the simplicity and locality of the principles of the model's functioning, it is proposed to consider the produced sound sequences as a kind of so-called music of a low or physiological level. Since there is a clear correlation between human perception and behavior of a complex structure, in this case we can talk about the starting point for a wide range of new original research in the fields of cognitive and related sciences.
Translated title of the contributionMUSIC OF SELF-ORGANIZED STRUCTURES IN THE STUDY OF COGNITIVE PROCESSES
Original languageRussian
Title of host publicationИнтегративные и кросс-культурные подходы к изучению мышления и языка
Subtitle of host publicationМатериалы международной научной конференции
Place of PublicationМ
PublisherРоссийский государственный гуманитарный университет
Pages31-34
ISBN (Electronic)9785728132110
StatePublished - 2022
EventИнтегративные и кросс-культурные подходы к изучению мышления и языка - ФГБОУ ВО «Российский государственный гуманитарный университет» (РГГУ), Москва, Russian Federation
Duration: 5 Apr 20226 Apr 2022

Conference

ConferenceИнтегративные и кросс-культурные подходы к изучению мышления и языка
Country/TerritoryRussian Federation
CityМосква
Period5/04/226/04/22

    Research areas

  • complex systems, critical dynamics, self-organization, KROPOTOV MODEL, MUSICAL PATTERNS, TIME SERIES

ID: 103704073