Generative
Build systems that change over time using probability, mutation, and feedback.
- sample and hold
- Turing-style mutation
- feedback and slow modulation
Generative
Lesson 03: Feedback And Slow Modulation
Push a patch beyond looping by introducing long-form parameter change and self-influence.
Markdown content
Theory, structure, and practical context are all driven from content files.
Related patches
Concrete repository anchors already exist for this lesson track.
Theory
Two techniques repeatedly appear in the project notes:
- slow modulation
- feedback
Slow modulation changes a system over long time scales.
Feedback means the patch reacts to its own output or energy state.
Why It Matters
This is where a patch starts to feel less like a loop and more like a behavior system.
Examples:
- envelope follower affecting probability
- long LFO changing filter motion over minutes
- density changes driven by the recent activity of the patch
Patch Idea
Voice output -> Envelope follower -> Probability amount
Slow LFO -> Filter cutoff / grain density / spacePractice
Build one patch where change happens over at least one minute.
Then add one feedback connection and observe whether the system becomes:
- more dynamic
- unstable
- more expressive
Patch references
Use the linked patch entries below as concrete repository anchors for this lesson track.
Continue inside Generative
Adjacent lessons in the same track keep the topic progression coherent.
Hybrid routing overview
The first system diagram connects the modular engine, DAW layer, and visual output layer.