README.md

---
language: en
license: mit
library_name: pytorch
tags:
  - spiking-neural-network
  - neuromorphic
  - surrogate-gradient
  - benchmark
  - catalyst
  - gsc
datasets:
  - google-speech-commands
metrics:
  - accuracy
model-index:
  - name: Catalyst GSC SNN Benchmark
    results:
      - task:
          type: audio-classification
          name: Keyword Spotting
        dataset:
          name: Google Speech Commands v2 (12-class)
          type: google-speech-commands
        metrics:
          - name: Float Accuracy
            type: accuracy
            value: 88.0
          - name: Quantized Accuracy (int16)
            type: accuracy
            value: 87.5
---

# Catalyst GSC SNN Benchmark

Spiking Neural Network for keyword spotting on Google Speech Commands using spike-to-spike delta modulation encoding.

## Model Description

- **Architecture**: 40 → 512 (recurrent adLIF, spike-to-spike) → 12
- **Neuron model**: Adaptive Leaky Integrate-and-Fire (adLIF) with spike-to-spike delta encoding
- **Training**: Surrogate gradient BPTT, fast-sigmoid surrogate (scale=25)
- **Hardware target**: Catalyst N1/N2/N3 neuromorphic processors
- **Quantization**: Float32 weights -> int16, membrane decay -> 12-bit fixed-point

## Results

| Metric | Value |
|--------|-------|
| Float accuracy | 88.0% |
| Quantized accuracy (int16) | 87.5% |
| Parameters | 290,828 |
| Quantization loss | 0.5% |

## Reproduce

```bash
git clone https://github.com/catalyst-neuromorphic/catalyst-benchmarks.git
cd catalyst-benchmarks
pip install -e .
python gsc/train.py --device cuda:0
```

## Deploy to Catalyst Hardware

```python
import catalyst_cloud

client = catalyst_cloud.Client()
result = client.simulate(
    model="catalyst-neuromorphic/gsc-snn-benchmark",
    input_data=your_spikes,
    processor="n2"
)
```

## Links

- **Benchmark repo**: [catalyst-neuromorphic/catalyst-benchmarks](https://github.com/catalyst-neuromorphic/catalyst-benchmarks)
- **Cloud API**: [catalyst-neuromorphic.com](https://catalyst-neuromorphic.com)
- **N2 paper**: [Zenodo DOI 10.5281/zenodo.18728256](https://zenodo.org/records/18728256)
- **N1 paper**: [Zenodo DOI 10.5281/zenodo.18727094](https://zenodo.org/records/18727094)

## Citation

```bibtex
@misc{catalyst-benchmarks-2026,
  author = {Shulayev Barnes, Henry},
  title = {Catalyst Neuromorphic Benchmarks},
  year = {2026},
  url = {https://github.com/catalyst-neuromorphic/catalyst-benchmarks}
}
```