Threshold Logic Circuits
Collection
Boolean gates, voting functions, modular arithmetic, and adders as threshold networks.
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248 items
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Updated
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1
At least 3 of 5 inputs high. Equivalent to 5-input majority function.
3outof5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 3, else 0
Equivalently: MAJORITY(a, b, c, d, e)
Single neuron: weights [1, 1, 1, 1, 1], bias -3
Fires when: sum >= 3
| Inputs | 5 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 6 |
| Magnitude | 8 |
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def atleast3of5(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(atleast3of5(0, 0, 0, 1, 1)) # 0 (sum=2)
print(atleast3of5(0, 0, 1, 1, 1)) # 1 (sum=3)
MIT