[P] Catalyst N1 & N2: Two open neuromorphic processors with Loihi 1/2 feature parity, 5 neuron models, 85.9% SHD accuracy
Reddit - Machine Learning
1 min read
Article
Summary
The article discusses the development of two open neuromorphic processors, Catalyst N1 and N2, which achieve feature parity with Intel's Loihi chips and demonstrate high accuracy in neuron modeling.
Why It Matters
This work is significant as it contributes to the field of neuromorphic computing, offering open-source alternatives to proprietary technologies. The processors' high accuracy and validation on FPGA make them valuable for researchers and developers in machine learning and AI.
Key Takeaways
- Catalyst N1 and N2 processors achieve feature parity with Intel's Loihi 1 and 2.
- Both processors are validated on FPGA and come with a complete Python SDK.
- The development involved 238 phases, showcasing a rigorous engineering process.
- N1 features a fixed CUBA LIF neuron model, while N2 supports five neuron models.
- The processors demonstrate an impressive 85.9% SHD accuracy.
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