# Catalyst Neuromorphic

Open neuromorphic processor architectures with full software stacks. Three generations of silicon, FPGA validated, cloud accessible.

## Processors

**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.*

**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.

**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.

## Benchmarks

| Benchmark | Accuracy | vs Competition |
|---|---|---|
| SHD | **90.7%** | Beats Loihi 1 (89.0%) |
| SSC | **73.5%** | Beats Loihi 2 (69.8%) |
| N-MNIST | **99.2%** | — |
| GSC KWS | **88.0%** | — |

Full N3 benchmark suite with precision sweeps and hardware feature demonstrations — coming soon.

## SDK

3,091 SDK tests | 1,011+ RTL tests | CPU, GPU, and FPGA backends

```bash
pip install catalyst-cloud
```

## Links

- [GitHub](https://github.com/catalyst-neuromorphic/catalyst-neurocore)
- [Cloud API](https://catalyst-neuromorphic.com/cloud)
- [Website](https://catalyst-neuromorphic.com)
- [N3 Architecture](https://catalyst-neuromorphic.com/processors/n3)
- [N2 Paper](https://doi.org/10.5281/zenodo.18728256)
- [N1 Paper](https://doi.org/10.5281/zenodo.18727094)