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##
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**
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# Catalyst Neuromorphic
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Open neuromorphic processor architectures with full software stacks. Three generations of silicon, FPGA validated, cloud accessible.
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## Processors
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**Catalyst N3** — 128-core neuromorphic SoC with hybrid ANN/SNN computing, hardware virtualization (NeurOS), and on-chip continual learning. 524K–1M neurons, 68 architectural features, 16 per-tile learning accelerators, 4-level memory hierarchy. FPGA validated (19/19 tests). *Paper and benchmarks coming soon.*
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**Catalyst N2** — Programmable neuron engine with Loihi 2 feature parity. 5 neuron models (LIF, Izhikevich, ALIF, Sigma-Delta, Resonate), 1-16 bit weights, reward-modulated three-factor learning.
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**Catalyst N1** — 128-core neuromorphic processor with Loihi 1 feature parity. 131K neurons, programmable STDP learning engine, FPGA-validated with zero failures across 25 RTL testbenches.
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## Benchmarks
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| Benchmark | Accuracy | vs Competition |
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|---|---|---|
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| SHD | **90.7%** | Beats Loihi 1 (89.0%) |
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| SSC | **73.5%** | Beats Loihi 2 (69.8%) |
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| N-MNIST | **99.2%** | — |
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| GSC KWS | **88.0%** | — |
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Full N3 benchmark suite with precision sweeps and hardware feature demonstrations — coming soon.
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## SDK
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3,091 SDK tests | 1,011+ RTL tests | CPU, GPU, and FPGA backends
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```bash
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pip install catalyst-cloud
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```
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## Links
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- [GitHub](https://github.com/catalyst-neuromorphic/catalyst-neurocore)
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- [Cloud API](https://catalyst-neuromorphic.com/cloud)
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- [Website](https://catalyst-neuromorphic.com)
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- [N3 Architecture](https://catalyst-neuromorphic.com/processors/n3)
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- [N2 Paper](https://doi.org/10.5281/zenodo.18728256)
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- [N1 Paper](https://doi.org/10.5281/zenodo.18727094)
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