This guide helps a visitor, reviewer, or presenter walk through MorphoSNN quickly before a short presentation or evaluation discussion. It keeps the focus on what the public repository currently shows and what it does not yet claim.
- Open README.md and show the one-line project definition.
- Point to the full visual concept story in 10_NEUROMORPHIC_STRATEGIC_THESIS.md.
- Open the toy CPG example guide at examples/toy_cpg_controller/README.md.
- Run
python3 examples/toy_cpg_controller/cpg_oscillator.py. - Explain that the script is an early rhythmic-control scaffold, not a full SNN model or robot controller.
Start with the top of README.md: logo, one-line definition, problem / thesis / current-repo bullets, and the current non-claims note. Then use docs/README.md as the documentation map.
From the repository root:
python3 examples/toy_cpg_controller/cpg_oscillator.pyExpected representative output:
time,left_signal,right_signal
0.00,0.0000,0.0000
0.10,0.3090,-0.3090
0.20,0.5878,-0.5878
0.30,0.8090,-0.8090
timeis the simulated timestamp in seconds.left_signalis the left rhythm-channel output.right_signalis the right rhythm-channel output.- The two rhythm channels are initialized in anti-phase, which makes the trace useful as a minimal locomotion-oriented rhythm scaffold.
- Public README positioning: done.
- Strategic thesis / visual story: available.
- Toy CPG example: runnable.
- Physical robot integration: not yet.
- Full SNN benchmark: not yet.
- Energy benchmark: not yet.
MorphoSNN does not claim biological fidelity, production readiness, robotics benchmarking, general SNN superiority, official validation, measured energy reduction, or an AlexNet-level achievement.
The toy CPG example is a minimal educational and research scaffold. It is not a physical robot controller, a full SNN implementation, or an energy benchmark.