Interactive Neural Net in Eurorack (Joystick & Artificial Neuron)

Combining human input from a joystick with a two-neuron artificial neural network for chaotic interactive music.

This Eurorack joystick is going into a simple neural network to control multiple dimensions of the timbre of this synth voice. Joystick dimensions X, Y, and Z go into different inputs of the Nonlinear Circuits Dual Neuron, and are mixed together and transformed by a nonlinearity (more here). In addition to the output controlling the waveform and filter cutoff of the synth, the outputs of each neuron is fed back into the other, creating a chaotic artificial organism with which to improvise.

Affiliate links for modules in this patch (though you really don’t need them; you can probably work this out with the gear or software that you currently have):
Doepfer A-174-4 3D Joystick (Perfect Circuit)
NLC Dual Neuron (Reverb)
Noise Engineering Ataraxic Translatron (Reverb)
Hikari Ping Filter (Perfect Circuit)
Noise Engineering Sinclastic Empulatrix (Reverb)
Arturia DrumBrute Impact (Perfect Circuit)
Korg SQ-1 (Perfect Circuit)

More Music with Artificial Neurons:

Spotting Subaudio

Finding and removing subaudio from sample files with a waveform editor.

Subaudio are frequencies below the range of human hearing (below 20Hz). These frequencies can sneak into our recordings, and work against us in a number of ways. If we can address subaudio in our samples, we can do ourselves a favor in the later stages of our mixing process.

0:00 Defining Subaudio
0:59 Example 1: Spotting Subaudio
2:04 Example 1: Doing the Math
2:50 Why Did This Happen?
3:11 Removing Subaudio with Parametric EQ
5:53 Example 2: Not Really Subaudio
7:27 Harmonics of Subaudio
8:31 Example 3: Trimming
9:15 Example 4: Bringing It All Together
10:16 Closing. Next Steps