---
license: mit
tags:
- pytorch
- safetensors
- threshold-logic
- neuromorphic
---

# threshold-majority5

5-input majority gate. Outputs 1 when at least 3 of 5 inputs are high.

## Function

majority5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 3, else 0

## Architecture

Single neuron: weights [1, 1, 1, 1, 1], bias -3

Fires when: sum >= 3

## Parameters

| | |
|---|---|
| Inputs | 5 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 6 |
| Magnitude | 8 |

## Usage

```python
from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def majority5(a, b, c, d, e):
    inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)])
    return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())

print(majority5(0, 0, 1, 1, 1))  # 1
print(majority5(0, 0, 0, 1, 1))  # 0
```

## License

MIT