@article{779912,
      author = {Miranda, Eduardo Reck,},
      url = {http://library.usi.edu/record/779912},
      title = {Guide to unconventional computing for music},
      publisher = {Springer,},
      abstract = {This pioneering text/reference explores how innovative new  modes of computation may provide exciting new directions  for future developments in the music industry, guiding the  reader through the latest research in this emerging,  interdisciplinary field. This work includes coverage of  electronic music compositions and performances that  incorporate unconventional interfacing, hacking and circuit  bending. Topics and features: Presents an introduction to  the broader field of unconventional computing, and to the  application of unconventional computing in music  composition and performance Discusses initiatives involving  biophysical electronic music, the work of self-styled  silicon luthiers, and the intersection of music and quantum  computing Introduces the memristor, a new electronic  component with the potential to revolutionize how computers  are built in the future Reviews experiments and practical  applications of biological memristors in music Describes  IMUSIC, an unconventional tone-based programming language,  which enables the programming of computers using musical  phrases Includes review questions at the end of each  chapter This unique volume is recommended reading for  students pursuing postgraduate studies in computer music  and associated topics, and for undergraduate students in  computing, engineering, and music seeking to understand the  key issues in the field. Researchers in academia and the  private sector will also find the work to be an invaluable  source of information. Prof. Eduardo Reck Miranda is a  composer and Professor in Computer Music at Plymouth  University, UK, where he is Director of the  Interdisciplinary Centre for Computer Music Research  (ICCMR). His previous publications include the Springer  titles Guide to Brain-Computer Music Interfacing and Guide  to Computing for Expressive Music Performance.},
      doi = {https://doi.org/10.1007/978-3-319-49881-2},
      recid = {779912},
      pages = {1 online resource.},
      address = {Cham :},
      year = {2017},
}