Manuel Camilo Eguia

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We propose and discuss an open source real-time interface that focuses in the vast potential for interactive sound art creation emerging from biological neural networks, as paradigmatic complex systems for musical exploration. In particular, we focus on networks that are responsible for the generation of rhythmic patterns.The interface relies upon the idea(More)
In this work we present a novel approach for interactive music generation based on the dynamics of biological neural networks. We develop SANTIAGO, a real-time environment built in Pd-Gem, which allows to assemble networks of realistic neuron models and map the activity of individual neurons to sound events (notes) and to modulations of the sound event(More)
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