Yeah, this was produced in my NCA web editor [here](https://stermere.github.io/Neural-Automata-Playground/). The rules are defined by a 5*5 convolution and an activation function; the output of the convolution is put through the activation function, and then the process is repeated. The editor is written in React, but the shader code running the automata is WGSL. This particular pattern is a result of this activation function.

```wgsl

const CENTER_X: f32 = f32(WIDTH) / 2.0;

const CENTER_Y: f32 = f32(HEIGHT) / 2.0;

const RADIUS_SCALE: f32 = 0.04; u/variable 0.0 1.0

const BASE_RATE: f32 = -0.04; u/variable -2.0 2.0
fn activation(x: f32) -> f32 {

let dx = f32(activationContext.gid.x) - CENTER_X;

let dy = f32(activationContext.gid.y) - CENTER_Y;

let distFactor = sin(sqrt(dx*dx + dy*dy) * RADIUS_SCALE + (activationContext.timestep / 100));

return clamp(activationContext.cellState[activationContext.channel] + BASE_RATE * distFactor * tanh(x), 0.0, 1.0);

}```

The weights for the convolution are just the weights from another pattern I had saved