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

# threshold-isone8

Check if 8-bit input equals 1 (binary 00000001).

## Function

isone8(a7..a0) = 1 if input == 1, else 0

Where input = 128*a7 + 64*a6 + ... + 2*a1 + a0

## Architecture

Single neuron pattern matcher for binary 00000001:

- Weights: [-1, -1, -1, -1, -1, -1, -1, +1]
- Bias: -1

Fires when all upper bits are 0 and LSB is 1.

## Parameters

| | |
|---|---|
| Inputs | 8 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 9 |
| Magnitude | 9 |

## Usage

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

w = load_file('model.safetensors')

def isone8(a7, a6, a5, a4, a3, a2, a1, a0):
    inp = torch.tensor([float(a7), float(a6), float(a5), float(a4),
                        float(a3), float(a2), float(a1), float(a0)])
    return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())

print(isone8(0, 0, 0, 0, 0, 0, 0, 1))  # 1 (input = 1)
print(isone8(0, 0, 0, 0, 0, 0, 1, 0))  # 0 (input = 2)
```

## License

MIT