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SSNN puts a live spiking neural network — 960 neurons across 32 layers — at the center of the synthesis path, driving eight engines in real time with each spike.
SSNN is a living network but does not run an AI model. It uses the mechanism of a Spiking Neural Network which is inspired of biological neuron firing at the core of synthesis.
The audio you feed it creates a unique closed loop. A continuous FFT writes its spectral profile into the network's connection weights — what it learns from — while the same raw samples fill the per-layer audio buffers the synth engines sculpt — the material it's made of.
The same signal is at once the lesson and the substance. An instrument that listens, learns, and synthesizes its own input while operating fully transparent to the user.

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