Abstract
Artificial Intelligence is aimed at endowing machines with some form of intelligence. Not surprisingly, AI scientists take much inspiration from the ways in which the brain and/or the mind works to build intelligent systems. Hence, studies in Philosophy, Psychology, Cognitive Science and more recently, the Neurosciences have been nourishing AI research since the field emerged in the 1950s, including, of course, AI for music. The Neurosciences have led to a deeper understanding of the behaviour of individual and large groups of biological neurons, and we can now begin to apply biologically informed neuronal functional paradigms to problems of design and control, including applications pertaining to music technology and creativity. Artificial Neuronal Networks (ANN) technology owes much of its development to burgeoning neuroscientific insight. However, this chapter introduces a different angle to harness the Neurosciences for music technology. Rather than discuss how to build musical ANN informed by the functioning of real biological neuronal networks, I shall introduce my forays into harnessing the latter to create music with. Is it possible to build programmable processors using living biological neurones? Can we harness information in physiological brain data to make music? How could we couple computers with our brains? What new musical systems might we be able to build with these? These are some of the questions that will be addressed in this chapter.
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Acknowledgements
The work presented in the chapter would not have been possible to be developed without the expertise and active input from a number of collaborators, including Dan Lloyd (Trinity College, Hartford, USA), Zoran Josipovic (New York University, USA), Larry Bull (University of the West of England, UK), Etienne Roesch (University of Reading, UK), Wendy Magee (Royal Hospital for Neuro-disability, London, UK), Julian O'Kelly (Royal Hospital for Neuro-disability, London, UK), John Wilson (University of Sussex, UK), Ramaswamy Palaniappan (University of Sussex, UK), Duncam Wililams (University of Plymouth, UK), François Guegen (University of Plymouth) and Joel Eaton (University of Plymouth, UK).
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Miranda, E.R. (2021). Creative Music Neurotechnology. In: Miranda, E.R. (eds) Handbook of Artificial Intelligence for Music. Springer, Cham. https://doi.org/10.1007/978-3-030-72116-9_8
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