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
7-input majority gate. Outputs 1 when at least 4 of 7 inputs are high.
majority7(a, b, c, d, e, f, g) = 1 if sum >= 4, else 0
Single neuron: weights [1, 1, 1, 1, 1, 1, 1], bias -4
Fires when: sum >= 4
| Inputs | 7 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 8 |
| Magnitude | 11 |
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def majority7(a, b, c, d, e, f, g):
inp = torch.tensor([float(a), float(b), float(c), float(d), float(e), float(f), float(g)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(majority7(0, 0, 0, 1, 1, 1, 1)) # 1
print(majority7(0, 0, 0, 0, 1, 1, 1)) # 0
MIT