genpark-personal-agent-acoustic-startle-prepulse-inhibition-skill
mcp
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Deterministic personal agent skill for evaluating Acoustic Startle Prepulse Inhibition (PPI), sensorimotor gating, and cognitive distractibility.
README.md
Acoustic Startle Prepulse Inhibition (PPI) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Acoustic Startle Reflex Prepulse Inhibition (%PPI), sensorimotor gating integrity, and environmental sensory overload vulnerability.
flowchart TD
Acoustic["Acoustic Stimulus (Prepulse + Pulse Pairs)"] --> EMG_Reflex["Electromyography / Startle Reflex Peak Extraction"]
EMG_Reflex --> PPI_Math["%PPI Equation & Lead Interval Calibration"]
PPI_Math --> Gating["Sensorimotor Gating & Distractibility Scoring"]
Gating --> Agent["OpenClaw / Hermes Personal Agent Actions"]
Features
- Deterministic Math: Pure Python standard library implementation with zero external dependencies.
- Neurophysiological Standard Formulas: Implements validated prepulse startle suppression equations.
- Cognitive Distraction Stratification: Quantitative evaluation of sensory filtering resilience in noisy environments.
- Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Quickstart
from client import AcousticStartlePPIClient
client = AcousticStartlePPIClient()
result = client.evaluate_prepulse_inhibition(
pulse_alone_amplitude=135.0,
prepulse_pulse_amplitude=38.0,
lead_interval_ms=100.0
)
print("PPI Percentage:", result["ppi_percentage"], "%")
print("Classification:", result["classification"])
License
Apache-2.0
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