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While researching references on ''Brain Computer Music Interfaces (BCMI)'', a reasonably recurrent practice in the bridge between Media Art and Science over the last 10 years, I’ve encountered the Neural Network Synthesizer (for Neural Synthesis and Neural Network Plus), which was developed for the electronic music pioneer and long-term John Cage collaborator David Tudor, by Forrest Warthman and Mark Holen, between 1989 and 1994. The Neural Synthesizer was used in several pieces and live performances by Tudor, including the record Neural Synthesis Nos. 6-9. In such works, I find specially interesting the feedback between the sounds, that are fed into each other - input and output. | While researching references on ''Brain Computer Music Interfaces (BCMI)'', a reasonably recurrent practice in the bridge between Media Art and Science over the last 10 years, I’ve encountered the Neural Network Synthesizer (for Neural Synthesis and Neural Network Plus), which was developed for the electronic music pioneer and long-term John Cage collaborator David Tudor, by Forrest Warthman and Mark Holen, between 1989 and 1994. The Neural Synthesizer was used in several pieces and live performances by Tudor, including the record Neural Synthesis Nos. 6-9. In such works, I find specially interesting the feedback between the sounds, that are fed into each other - input and output. | ||
From the interest of integrating an ''EEG'' (Electroencephalogram) sensor with an Audio Synthesis developed in Max/MSP, in order to experiment on developing a BCMI to achieve ''Brain Controlled Synthesis'', I also got first in touch with some basic knowledge on Neuroscience. Already with the intention of developing a Neuro Synthesizer, which would create a communication between different synthesized sounds, each functioning as a | From the interest of integrating an ''EEG'' (Electroencephalogram) sensor with an Audio Synthesis developed in Max/MSP, in order to experiment on developing a BCMI to achieve ''Brain Controlled Synthesis'', I also got first in touch with some basic knowledge on Neuroscience. Already with the intention of developing a Neuro Synthesizer, which would create a communication between different synthesized sounds, each functioning as a ''Neuron'', the concept of a Neural Network made itself elemental. Namely, a ''Biological Neural Network'' consists on a network of interconnected neurons, which receive inputs and produce outputs to another neurons based on such inputs. | ||
Still while studying the development of the interface, I was drawn to understand some basic principles on Machine Learning. Finding then a strong parallel between some of the principles of Neuroscience was also a grateful surprise. On a Machine Learning level, the concept of a Neural Network is also present and elemental, as an ''Artificial Neural Network (ANN)'', which is one of the training methods of Machine Learning. | Still while studying the development of the interface, I was drawn to understand some basic principles on Machine Learning. Finding then a strong parallel between some of the principles of Neuroscience was also a grateful surprise. On a Machine Learning level, the concept of a Neural Network is also present and elemental, as an ''Artificial Neural Network (ANN)'', which is one of the training methods of Machine Learning. |
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