def should_be_sigmoid_of_sum_of_incoming_values(self):
incoming = StubSynapse(1.0)
neuron = Neuron()
neuron.add_incoming(incoming)
neuron.add_incoming(incoming)
neuron.fire()
expect(neuron.activation) == sigmoid(2.0)
def should_set_links_up_on_splice(self):
neuron1 = BiasNeuron()
neuron2 = Neuron()
weight = 0.5
Network(()).splice(neuron1, neuron2, weight)
neuron2.fire()
expect(neuron2.activation) == sigmoid(0.5 * neuron1.activation)
def print_sigmoid(value):
print '{}: {}'.format(value, sigmoid(value))
