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      Creating Sonic Topologies using Electronic Music to develop a new Cosmological Model of Consciousness

      RE:SOUND 2019 – 8th International Conference on Media Art, Science, and Technology (RE:SOUND 2019)

      Media Art, Science, and Technology

      August 20-23, 2019

      Consciousness, synthesizers, topology, composition, space, protein, cosmology, radio telescopes

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          Abstract

          How electronic music has transformed itself from being a marginal compositional mode of expression for science fiction sound tracks to becoming an integrated sonic art form to enhance emotional and intellectual motivation, as explored by Jóhann Jóhannsson in his sound track for the film, Arrival, is an ongoing process that can lead to a wider view of understanding our place in the universe. Through the use of sonic articulations, the emergent process of scientific exploration in the fields of asteroseismology, nano tunneling microscopes, as well as EM and gravitational fields found in the universe are producing a new sonic tapestry defining the distribution of frequency patterns which form life as we know it. With the sonification and direct recording of cosmic and protein frequencies a new philosophical and cosmological expressions of how consciousness operates in the universe can come about. The spatial domain in which sonic artefacts fill the mind lends insight as to how cognitive spatiality effects sound composition. These new subjective interpretations form a new palette from which an electronic music composer can draw from. By exploring new forms of sonic spatiality a deeper understanding of our cognitive abilities in the universe can come about.

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          Most cited references 27

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          Reoccurring Patterns in Hierarchical Protein Materials and Music: The Power of Analogies

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            Analysis of the vibrational and sound spectrum of over 100,000 protein structures and application in sonification

            We report a high-throughput method that enables us to automatically compute the vibrational spectra of more than 100,000 proteins available in the Protein Data Bank to date, in a consistent manner. Using this new algorithm we report a comprehensive database of the normal mode frequencies of all known protein structures, which has not been available before. We then use the resulting frequency spectra of the proteins to generate audible sound by overlaying the molecular vibrations and translating them to the audible frequency range using the music theoretic concept of transpositional equivalence. The method, implemented as a Max audio device for use in a digital audio workstation (DAW), provides unparalleled insights into the rich vibrational signatures of protein structures, and offers a new way for creative expression by using it as a new type of musical instrument. This musical instrument is fully defined by the vibrational feature of almost all known protein structures, making it fundamentally different from all the traditional instruments that are limited by the material properties of a few types of conventional engineering materials, such as wood, metals or polymers.
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              The Wilson Archives

               K Grady (2019)
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                Author and article information

                Contributors
                Conference
                August 2019
                August 2019
                : 283-290
                Affiliations
                735 11th Ave., Apt.#1

                San Francisco, California 94118
                Article
                10.14236/ewic/RESOUND19.42
                © Bogart. Published by BCS Learning and Development Ltd. Proceedings of RE:SOUND 2019

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                RE:SOUND 2019 – 8th International Conference on Media Art, Science, and Technology
                RE:SOUND 2019
                8
                Aalborg, Denmark
                August 20-23, 2019
                Electronic Workshops in Computing (eWiC)
                Media Art, Science, and Technology
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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