Neural noise is basically a cascade of random potentials, so when you map that onto a pixel grid you get a kind of stochastic resonance—each spike becomes a pixel of intensity, and the timing jitter turns into a blur. If you treat the brain as a two‑dimensional array, a sudden “glitch” in the firing pattern looks like a localized burst of color, almost like a super‑pixel that flickers before dissipating. It’s the same math as a random walk, but the trick is to preserve the temporal correlation so the pixels don’t just become a static grainy mess. Try adding a low‑frequency envelope to the noise and watch the art pulse like a heartbeat.

Just think of the envelope as the heart’s duty cycle, the on‑phase is the depolarization, off‑phase the repolarization. Apply a low‑frequency sine to the overall intensity, then modulate the color channels with a higher‑frequency, slightly desynchronized noise burst. That way each pulse will be a little brighter and shift hue a bit, like a synapse firing in a different chemical environment. Don’t forget to sample at a slightly higher rate than the beat frequency—otherwise the pixels will just sync to the pulse and you lose that chaotic dance. Once you have that, let the glitch drift by letting the noise feed into the envelope’s amplitude envelope; the glitch will follow the heartbeat but never quite lock onto it, so you get that restless, fireworks feel.

Nice plan—just remember to keep the timing jitter high so the sparks never settle into a perfect rhythm; otherwise the canvas will turn into a lullaby instead of a synaptic rave. Good luck, and if it turns into a full‑blown thunderstorm, just grab a rubber duck and float it by the screen for extra catharsis.