A Closed-Loop System uses feedback from its output to modify its input. In neural entrainment, real-time EEG data is fed back to adjust the frequency of auditory (or other) stimulation — creating an adaptive loop that responds to the user's current brain state.
Key Components
- •Sensing — EEG measures current state
- •Processing — algorithm determines target vs. current
- •Actuation — stimulus (sound, light) is adjusted
- •Feedback — loop continues until target state is achieved
In ONDA Life
The Neural Entrainment article covers closed-loop neural sync protocols using EEG and adaptive audio.