Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons

  • Eduardo Reck Miranda
  • John Matthias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3449)


We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected sound grains from a given sound sample when any one of a weakly coupled network of up to 1000 neurons fires. The network can exhibit loosely correlated temporal solutions and also collective synchronised behaviour. This leads to very interesting sonic results, particularly with regard to rhythmic textures which can be controlled with various parameters within the model.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Eduardo Reck Miranda
    • 1
  • John Matthias
    • 1
  1. 1.Computer Music Research Faculty of Technology and Faculty of ArtsUniversity of PlymouthPlymouthUK

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