Founder Sale NeuroListics™ Human-Performance Activation — Exclusive Cognitive & Behavioral Telemetry Access. Early Cohort Active
Flagship Human Telemetry & Behavioral Synchronization

The All-Encompassing Engine for Positive Interactions

Bioperant NeuroListics™ is the ultimate human telemetry and cognitive-autonomic command center. By fusing real-time cardiac variability with Hans Berger cortical ground-truth validation and Rescorla-Wagner behavioral state tagging, NeuroListics decodes the complete neural and autonomic symphony of human interaction.

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The "Positive Interactions" Human Framework

Traditional telemetry studies human biology in isolation. NeuroListics is built specifically for dyadic and group interactions—capturing how nervous systems synchronize, co-regulate, and respond during active communication, coaching, team training, and high-stakes collaboration.

[DYADIC SYNCHRONY] [REAL-TIME CO-REGULATION] [CLOSED-LOOP FEEDBACK]
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Complete Human Telemetry Architecture

Every advanced mastering subsystem unified into a single turnkey human command center.

SUBSYSTEM 01 // CORTICAL GROUND TRUTH

Hans Berger Alpha ERD Pipeline

Integrates Muse 2 and lightweight EEG arrays to track real-time 10Hz Alpha (40% Event-Related Desynchronization) markers, providing instantaneous validation of cognitive orienting and mental load.

  • 10Hz Alpha Band Power Spectral Density
  • 40% Event-Related Desynchronization (ERD) Trigger
  • Zero-Shielding Ambulatory EEG Noise Filtering
SUBSYSTEM 02 // AUTONOMIC PREDICTION

Dual-Metric Coincidence Gate™

Locks Baevsky’s Stress Index ($SI$) against time-domain $RMSSD$ over a continuous 15-second sliding window—eliminating histogram jitter and isolating true vagal collapse at a `T-45s` predictive horizon.

  • Baevsky Stress Index ($AMo / 2Mo \times MxDMn$)
  • 15-Second Sliding RMSSD Stabilization
  • `T-45s` Early Vagal Warning Trigger
SUBSYSTEM 03 // BEHAVIORAL STATE TAGGING

Rescorla-Wagner Prediction Engine

Anchors physiological slices (`T-60s` through `T+30s`) directly to Positive, Zero, and Negative Prediction Error (PE) states, feeding clean regression vectors straight into research pipelines.

  • Automated +PE, 0PE, and -PE State Slicing
  • Web Audio Synthesizer Frequency Sonification
  • LM Studio & CSV/JSON Regression Export