maykondgranemann/neuromorphic-journey

The 'neuromorphic-journey' project is currently a day-zero personal engineering log or educational repository (0 stars, 0 forks). While the concept of bridging high-level SNN simulations (sPyNNaker) with low-level bare-metal hardware (STM32) for robotics is technically ambitious and niche, the project currently lacks the code density, community, or unique intellectual property required for high defensibility. It functions more as a tutorial or personal portfolio than a library. Competitively, it sits in a space occupied by academic frameworks like snnTorch or Norse, and hardware-specific SDKs from Intel (Loihi/Lava) or SynSense. The defensibility is rated a 2 because it is a personal experiment that is easily reproducible by a competent embedded engineer. However, the 'Frontier Risk' is low because major AI labs are currently focused on Transformer architectures and LLMs, leaving niche neuromorphic/embedded robotics to the research community. The primary risk is abandonment or being overshadowed by more comprehensive academic toolkits that provide better abstraction layers for SNN-to-hardware compilation.