A modular diagnostic and validation tool for HNN-Core simulations, designed to improve reliability and detect inconsistencies in simulation outputs.
This project separates simulation execution from validation logic, enabling clearer testing workflows and better maintainability.
hnn_simulate.py: Builds and runs the Jones 2009 neural model to generate simulation outputs.hnn_integrity.py: Validates simulation outputs by auditing peak latency and configuration consistency.
Run simulation → Generate outputs → Apply validation checks → Detect inconsistencies
# Installation
pip install -r requirements.txt
# Usage
python hnn_simulate.py
python hnn_integrity.py