threshold-minority7

7-input minority gate. Outputs 1 when at most 3 of 7 inputs are high. Complement of majority7.

Function

minority7(a, b, c, d, e, f, g) = 1 if sum <= 3, else 0

Architecture

Single neuron: weights [-1, -1, -1, -1, -1, -1, -1], bias 3

Fires when: sum <= 3

Parameters

Inputs	7
Outputs	1
Neurons	1
Layers	1
Parameters	8
Magnitude	10

Usage

from safetensors.torch import load_file
import torch

w = load_file('model.safetensors')

def minority7(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(minority7(0, 0, 0, 0, 1, 1, 1))  # 1
print(minority7(0, 0, 0, 1, 1, 1, 1))  # 0

License

MIT