Presets & Logic
Synaptic Parameters
Weight w₁ (x₁)
0.50
Weight w₂ (x₂)
0.50
Threshold (θ) / Bias (b)
0.80
Perceptron Rule Trainer
Learning Rate (η)
0.10
Hidden Layer Geometry
Warp Transformation Factor
1.00
Adds hidden unit h₁ = STEP(x₁ + x₂) to lift non-separable XOR into a linearly separable 3D feature space.
Boundary Equation: 0.50·x₁ + 0.50·x₂ = 0.80
2D Decision Boundary Space
Linearly Separable
Artificial Neuron Architecture
Step Activation
1943: McCulloch-Pitts Threshold Switch
Warren McCulloch and Walter Pitts modeled neurons as binary logic switches using strict integer/fixed weights and fixed excitatory/inhibitory thresholds. They proved simple switches could compute basic logical functions (AND, OR, NOT), laying the mathematical foundation for cybernetics and digital computing.
Truth Table Telemetry
| x₁ | x₂ | Target | Output | Status |
|---|
Model Capability Proof
Target Function: AND
Decision Boundary Equation:
0.5*x1 + 0.5*x2 = 0.8
Separability Verdict:
Linearly Separable