PDCON:Conference/Santiago - Making music with biological neural networks in Pd-Gem: Difference between revisions
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Author: Hernán Kerlleñevich | Author: Hernán Kerlleñevich | ||
Note: Only this extended abstract is available. | |||
In this paper we present SANTIAGO, a biological neural network environment built in Pd-Gem. The interface focuses in the vast potential for interactive sound art creation emerging from biological neural networks, as a paradigmatic complex system for musical exploration. Our motivation relies upon the idea of relating metaphorically neural behaviors to electronic and acoustic instruments notes, by means of flexible mapping strategies. In this spirit, we introduce a simple, yet dynamically rich, neural system to develop new interfaces for generative music composition and performance. | In this paper we present SANTIAGO, a biological neural network environment built in Pd-Gem. The interface focuses in the vast potential for interactive sound art creation emerging from biological neural networks, as a paradigmatic complex system for musical exploration. Our motivation relies upon the idea of relating metaphorically neural behaviors to electronic and acoustic instruments notes, by means of flexible mapping strategies. In this spirit, we introduce a simple, yet dynamically rich, neural system to develop new interfaces for generative music composition and performance. | ||