Guide to Unconventional Computing for Music by Eduardo Reck Miranda

By Eduardo Reck Miranda

This pioneering text/reference explores how leading edge new modes of computation may supply fascinating new instructions for destiny advancements within the song undefined, guiding the reader in the course of the newest examine during this rising, interdisciplinary box. This paintings comprises insurance of digital tune compositions and performances that comprise unconventional interfacing, hacking and circuit bending. positive factors: provides an creation to unconventional computing in tune; discusses projects regarding biophysical digital track, the paintings of self-styled silicon luthiers, and the intersection of song and quantum computing; introduces the memristor, a brand new digital part with the capability to revolutionize how pcs are equipped; stories experiments and functional functions of organic memristors in song; describes IMUSIC, an unconventional tone-based programming language, which permits the programming of desktops utilizing musical words; contains evaluation questions on the finish of every chapter.

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Distributed patterns of neural activity, also referred to as spike trains, controlled the behaviour of the Animat in a computer-simulated virtual environment. The Animat provided electrical feedback about its movement within its environment to the neurones on the processing device. Changes in the Animat’s behaviour were studied together with the neuronal processes that produced those changes in an attempt to understand how information was encoded and processed by the cultured neurones. 2 On Unconventional Computing for Sound and Music 35 Fig.

As the plasmodium is an ever-changing living entity, we cannot predict its propagation trajectory between nodes with absolutely certainty. Furthermore, in some cases environmental factors out of our control may impact the organism’s behaviour. R. Miranda et al. Fig. 23 A photograph of the experimental space at the start of an experiment causing them to alter classification from attractant to repellent. It is also likely that computations within the same experimental setup will have varying results.

The system scans the matrix for values in the range [min, max] and outputs the minimum and maximum points that contain values in the range [min, max] within the matrix. The bounding region is a rectangle; thus, the software outputs the indices for the left-top and bottom-right cells of the region in which it finds the specified values. Cloud Catcher provides the ability to define a colour range, which allows for targeting suitable colour ranges in the images. Every time a colour in the chosen range appears on the video, it will produce as output two coordinates related to the region boundaries; otherwise, it will have no output.

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