Talking through the concept of an artificial neuron, the fundamental component of artificial intelligence and machine learning, from an audio perspective.

I've made a few videos recently with "artificial neurons" including in Pure Data (   • Pure Data Artificial Neuron Patch fro...   &    • Pd Artificial Neural Network Patch fr...  ) and in Eurorack (   • OneNeuron Eurorack Synth Jam  Unive...  ), and, in this video, I discuss the ideas here in more detail, specifically how an artificial neuron is just a nonlinear mixer.

An artificial neuron takes in multiple inputs, weights them, and then transforms the sum of them using an "activation function", which is just a nonlinear transformation (of some variety).

Of course just making a single neuron does not mean you've made an artificial intelligence or a program capable of "deep learning", but understanding these fundamental building blocks can be a great first step in demystifying the growing number of machine learning programs in the 21st Century.

More music and sound design with artificial neurons:    • Music and Sound with Neurons and Neur...  

0:00 Why Neurons?
1:04 Defining Artificial Neurons
1:30 Activation Functions
2:22 Again, why?
3:01 Audio Nonlinearity
3:29 Nonlinear Circuits Neuron in VCV Rack
5:43 Mixing Multiple LFOs
6:13 Moving to Audio Rate
7:22 Comparing to Linear Mixing
8:12 Acknowledging Weighting
8:34 Different waveforms
9:44 In Pure Data, Reaktor, Max/MSP, Kyma, and Eurorack
10:37 Different Nonlinear Transformations
10:51 Machine Learning?

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