class MCPNeuron(object):
    """McCollough Neuron implementation.

    Parameters
    __________
    input : List of input objects
    threshold : int
    When the input aggregation reaches this value, the output changes to a 1

    Attributes
    ----------
    excitiations : int
    Total number of excitation states detected.

    """

    def __init__(self, inputs, threshold):
        self.inputs = inputs
        self.threshold = threshold

    def activate(self):
        """ Run the neuron with the list of inputs.

        Return
        ------
        0 if thehold not reached, 1 otherwise.
        """

        total = 0

        # Build up the total signals from excitators and inhibitators
        for trigger in self.inputs:
            if trigger.excitatory:
                total += trigger.val
            else:
                if trigger.val:
                    return 0

        # Has the total gone over the threhold and set off the neuron?
        if total >= self.threshold:
            return 1
        else:
            return 0