Physarum Inspired Audio: From Oscillatory Sonification to Memristor Music View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Ella Gale , Oliver Matthews , Jeff Jones , Richard Mayne , Georgios Sirakoulis , Andrew Adamatzky

ABSTRACT

Slime mould Physarum polycephalum is a single-celled amoeboid organism known to possess features of a membrane-bound reaction–diffusion medium with memristive properties. Studies of oscillatory and memristive dynamics of the organism suggest a role for behaviour interpretation via sonification and, potentially, musical composition. Using a simple particle model, we initially explore how sonification of oscillatory dynamics can allow the audio representation of the different behavioural patterns of Physarum. Physarum shows memristive properties. At a higher level, we undertook a study of the use of a memristor network for music generation, making use of the memristor ’s memory to go beyond the Markov hypothesis. Seed transition matrices are created and populated using memristor equations, and which are shown to generate musical melodies and change in style over time as a result of feedback into the transition matrix. The spiking properties of simple memristor networks are demonstrated and discussed with reference to applications of music making. More... »

PAGES

181-218

References to SciGraph publications

Book

TITLE

Guide to Unconventional Computing for Music

ISBN

978-3-319-49880-5
978-3-319-49881-2

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-49881-2_7

DOI

http://dx.doi.org/10.1007/978-3-319-49881-2_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083878600


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55 schema:description Slime mould Physarum polycephalum is a single-celled amoeboid organism known to possess features of a membrane-bound reaction–diffusion medium with memristive properties. Studies of oscillatory and memristive dynamics of the organism suggest a role for behaviour interpretation via sonification and, potentially, musical composition. Using a simple particle model, we initially explore how sonification of oscillatory dynamics can allow the audio representation of the different behavioural patterns of Physarum. Physarum shows memristive properties. At a higher level, we undertook a study of the use of a memristor network for music generation, making use of the memristor ’s memory to go beyond the Markov hypothesis. Seed transition matrices are created and populated using memristor equations, and which are shown to generate musical melodies and change in style over time as a result of feedback into the transition matrix. The spiking properties of simple memristor networks are demonstrated and discussed with reference to applications of music making.
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