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)

Abstract

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Gabor, D.: Acoustical quanta and the theory of hearing. Nature 159(4044), 591–594 (1947)CrossRefGoogle Scholar
  2. 2.
    Miranda, E.R.: Computer Sound Design: Synthesis Techniques and Programming. Elsevier/Focal Press, Oxford, UK (2002)Google Scholar
  3. 3.
    Miranda, E.R.: Granular Synthesis of Sounds by Means of a Cellular Automaton. Leonardo 8(4), 297–300 (1995)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Truax, B.: Real Time Granular Synthesis with a Digital Signal Processor. Computer Music Journal 12(2), 14–26 (1988)CrossRefGoogle Scholar
  5. 5.
    Blackwell, T.M., Young, M.: Swarm Granulator. In: Raidl, G.R., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 399–408. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Ikegaya, Y., Aaron, G., Cossart, R., Aronov, D., Lampl, L., Ferster, D., Yuste, R.: Synfire chains and cortical songs: Temporal modules of cortical activity. Science 304, 559–564 (2004)CrossRefGoogle Scholar
  7. 7.
    Gerstner, W., Kistler, W.M.: Spiking Neuron Models. Cambridge University Press, Cambridge, UK (2002)MATHGoogle Scholar
  8. 8.
    Izhikevich, E.M.: A simple model of a spiking neurons. IEEE Transactions on Neural Networks 14, 1469 (2003)CrossRefGoogle Scholar
  9. 9.
    Hoppenstadt, F.C., Izhikevich, E.M.: Weakly connected neural networks. Springer, New York (1997)Google Scholar
  10. 10.
    Izhikevich, E.M.: A Simple model of a spiking network IEEE Transactions on Neural Networks (in print)Google Scholar
  11. 11.
    Abramovitz, M., Stegun, I.: Handbook of Mathematical Functions. Dover, New York (1972)Google Scholar

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

Personalised recommendations