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

# threshold-2outof5

At least 2 of 5 inputs high.

## Function

2outof5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 2, else 0

## Architecture

Single neuron: weights [1, 1, 1, 1, 1], bias -2

Fires when: sum >= 2

## Parameters

| | |
|---|---|
| Inputs | 5 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 6 |
| Magnitude | 7 |

## Usage

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

w = load_file('model.safetensors')

def atleast2of5(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(atleast2of5(0, 0, 0, 0, 1))  # 0 (sum=1)
print(atleast2of5(0, 0, 0, 1, 1))  # 1 (sum=2)
```

## License

MIT