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Neural Circuits: Σ(35-59) Artificial Sound Environments Interconnected to an Evolving Autocentric Rotating Cellular Cube

Dimitrios Voudouris

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Abstract

Constructed by using multiple computer-fragmented WAV files retrieved from disposed digital audio data. 68 modular circuits and three ports each equipped with electronic grids, were developed. The action outcomes of each circuit are controlled by command processing, 24 partitions of an  evolving rotating cube with 576 cellular blocks. Attached to each cell are wavelets, one to four plugins and a similar number of effects or a combination of both. The automaton tends to evolve from an initial random distribution of a selection of circuits, WAV files, effects and plugins to a deterministic selection of numbers used in further fragmentation processes of circuit-processed WAV files allowing accessibility in the distribution state so that wavelets can reach their destination. Circuits are part of the  neural network of commands, offering machine learning capabilities. The development draws on transition adapted for modelling purposes in areas from physical and biochemical sciences.

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Voudouris, D. (2025-07-15). Neural Circuits: Σ(35-59) Artificial Sound Environments Interconnected to an Evolving Autocentric Rotating Cellular Cube. Boston Research Journal of Social Sciences & Humanities, 5(5), 23-43.

Figures

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Copyright

© 2025 Voudouris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dimitrios Voudouris

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