Disclaimer: The content below was generated with the assistance of AI and then reviewed and edited by BrainMaster Technologies, Inc. It is provided for educational and informational purposes only and does not constitute medical advice.
Overview #
The Sweet Spot Suite in BrainMaster 3.0.2 introduces a set of advanced, tunable parameters that enable highly refined neurofeedback training. These features give clinicians greater control over session responsiveness, feedback stability, filter behavior, and threshold adaptation. The suite supports precision training across low- and high-frequency protocols and improves compatibility with legacy systems such as Neurocybernetic platforms.
New and Enhanced Training Parameters #
1. Sustained Reward Criterion (SRC) #
Controls how long conditions must remain met before issuing a reward.
Range: 0–10,000 ms
Default: 500 ms
Longer values increase difficulty and reward discrimination.
Example: 500 ms allows a max of 2 rewards/sec.
2. Refractory Period #
Defines the delay after a reward before another can occur.
Range: 0–10,000 ms
Default: 0 ms
Interacts with SRC to shape reinforcement timing.
3. Autothreshold Epoch #
Determines the time window used for automatic threshold calculations.
Range: 5–60 seconds (default 60)
Short epochs adapt quickly but fluctuate more; long epochs slow adaptation.
Also governs calculations for “percent time over threshold.”
4. Autoupdate Continuous Mode #
A new mode allowing thresholds to update continuously for emergent variability.
Helps maintain stable reward rates despite changing EEG conditions.
5. On-the-Fly Frequency Adjust Increment #
Controls how much frequency bands shift during real-time adjustments using keyboard commands.
Range: 0.1–1.0 Hz
Enables fine-tuning during live sessions.
6. Digital Filter Smoothing Window #
Sets the averaging interval for filter envelope smoothing.
Range: 0–1000 ms
Affects responsiveness of thermometers, bar graphs, and auditory feedback.
7. Text Damping Factor #
Controls the speed at which text-based amplitude displays (e.g., Text Stats) adjust to changes.
Range: 0–1000
Higher values = slower adaptation (e.g., 100 ≈ 10 seconds to stabilize).
8. Digital Filter Order #
Defines filter steepness and responsiveness.
Range: 1–10
Low order = faster response, more band “leakage”
High order = sharper filtering, slower adaptation
Example from table (page 5):Order 1: 30–40% leakage, 1.5 cycles response
Order 10: <1% leakage, 4.5 cycles response
Clinical guidance:Use lower orders for children, beginners, or high-frequency work.
Higher orders suit advanced users or meditation protocols.
Enhanced On-Screen Displays #
Filtered waveform views now include:
Average Amplitude
Current Threshold
Percent Time Over Threshold
These additions improve real-time decision-making and protocol adjustments.
Clinical Benefits #
Enables precision tuning across diverse neurofeedback paradigms.
Supports legacy-protocol replication through adjustable smoothing, filter order, and autothresholding.
Enhances operator control with live frequency shifting and real-time adaptive thresholds.
Improves feedback stability and responsiveness for individualized training.
Conclusion #
The Sweet Spot Suite extends BrainMaster 3.0.2 into a more flexible, fine-tunable neurofeedback system. By allowing granular control of training parameters and visual feedback, it supports protocol customization, improved training specificity, and closer alignment with both modern and legacy neurofeedback methodologies.
