class Neuron {

  Neuron [] m_inputs;
  float [] m_weights;
  float m_output;

  Neuron(){
  }

  Neuron(Neuron [] prev_inputs)
  {
    inputs = new Neuron [prev_inputs.length];
    weights = new float [prev_inputs.length];
    for (int i = 0; i < inputs.length; i++) {
      inputs[i] = prev_inputs[i];
      weights[i] = random(-1.0, 1.0);
    }
  }
  void respond() {

    float sum_input = 0.0;
    for (int i = 0; i < m_inputs.length; i++) {
      input += inputs[i].output * weights[i];
    }
    output = lookupSigmoid(sum_input);
  }

  void display() {
    fill(128 * (1 - output));
    ellipse(0, 0, 16, 16); // Draw the neuron
  }
}