metadata
license: mit
tags:
- pytorch
- safetensors
- threshold-logic
- neuromorphic
threshold-3outof4
At least 3 of 4 inputs high.
Function
3outof4(a, b, c, d) = 1 if (a + b + c + d) >= 3, else 0
Truth Table
| a | b | c | d | sum | out |
|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 |
| 0 | 0 | 0 | 1 | 1 | 0 |
| 0 | 0 | 1 | 1 | 2 | 0 |
| 0 | 1 | 1 | 1 | 3 | 1 |
| 1 | 1 | 1 | 1 | 4 | 1 |
Architecture
Single neuron: weights [1, 1, 1, 1], bias -3
Fires when: a + b + c + d - 3 >= 0, i.e., sum >= 3
Parameters
| Inputs | 4 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 5 |
| Magnitude | 7 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def atleast3of4(a, b, c, d):
inp = torch.tensor([float(a), float(b), float(c), float(d)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(atleast3of4(0, 0, 1, 1)) # 0 (sum=2)
print(atleast3of4(0, 1, 1, 1)) # 1 (sum=3)
License
MIT