Granular Sampling Using a Pulse-Coupled Network of Spiking Neurons

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.

• Type: Conference
• Year: 2005
• Where: EVOW
• Authors: Eduardo Reck Miranda, John Matthias
• Keywords: Artificial Intelligence, Artificial Neurons, Collective Synchronised Behaviour, EVOW 2005, Weakly Coupled Network