sonocLAB have released SSNN, available for £65.00.
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.
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 resynthesizes its own input while operating fully transparent to the user.
Spiking Neural Networks (SNNs) are the third generation of artificial neural networks, designed to more closely mimic how biological neurons actually communicate. While traditional artificial neural networks use continuous values, spiking networks communicate through discrete electrical impulses or “spikes” — just like neurons in your brain.
Audio is inherently temporal — music exists in time, with rhythm, melody, and harmony unfolding moment by moment. Spiking neural networks are naturally suited for temporal pattern processing, making them ideal for rhythmic pattern generation through spike timing, dynamic harmonic evolution through network states, adaptive learning from audio content, and real-time responsiveness to musical input.
The SSNN arpeggiator is a 32-layer arpeggio system that transforms the neural network’s layer-based architecture into musical scales and chord progressions. Each of the 32 neural network layers triggers different frequencies based on the selected arpeggio pattern, creating polyphonic harmonic structures that evolve with neural network activity.
The user can also set Scala formatted tuning scales to pitch quantize the synthesis voices.
Features include:
- Live Spiking Neural Network with 960 neurons, 8 Synthesis engines in parallel
- Spectral training, real time weight morphing
- Full resizable vector UI
- Multi core engine ( 3 workers + main thread ), oversampled output
- Mouse pointer float on any UI element reveals a relevant info text
- OSC Spike broadcast with high time resolution
- Custom arpeggiator patterns and powerful quantization scheme
- Ultra fast event management and 60hz neuron activity visual response
Watch videos on SSNN HERE.
SSNN is available to PC and Mac users (VST3 and AU).
For more information on SSNN, click here:
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