Open Catalyst N1/N2 Match Loihi Neuromorphic Features
💡Open neuromorphic chips rival Loihi with 85.9% SNN benchmark—free SDK for edge AI builders
⚡ 30-Second TL;DR
What Changed
N1 matches Loihi 1 with 128 cores, 1K neurons/core, exceeds in state precision and graded spikes
Why It Matters
Provides open-source alternative to proprietary neuromorphic chips, enabling accessible SNN research and deployment. Could accelerate spiking neural network adoption in edge AI.
What To Do Next
Download Catalyst N1/N2 technical papers and clone the Python SDK GitHub repo to simulate on FPGA.
Key Points
- •N1 matches Loihi 1 with 128 cores, 1K neurons/core, exceeds in state precision and graded spikes
- •N2 achieves Loihi 2 parity with 5 neuron models (CUBA LIF, Izhikevich, etc.) and programmable features
- •85.9% SHD accuracy on Spiking Heidelberg Digits, surpassing prior SNN benchmarks
- •FPGA-validated at 62.5 MHz on AWS F2, open design with 3K+ SDK tests
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Original source: Reddit r/MachineLearning ↗
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