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 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_fire_until_all_nodes_relaxed(self):
sensor = SensorNeuron(lambda: 10)
output = Neuron()
net = Network((sensor, output))
net.activate()
expect((sensor.fire(), output.fire())) == (RELAXED, RELAXED)
