============================================================= A proof-of-concept Project Aiming at a sort of Neural Network ============================================================= ($Id$) Let's start with creating a few neurons and connecting them with synapses. >>> from cybertools.brain.neuron import Neuron, Synapsis >>> n01 = Neuron() >>> n02 = Neuron() In the simple default implementation the neurons are connected automatically when creating a synapsis: >>> s0102 = Synapsis(n01, n02) >>> n01.senders [] >>> n01.receivers == [s0102] True >>> n01.getState() >>> n02.getState() When we change the state of a neuron and notify it, all its receiver synapses get triggered so that the receiver neurons' states are updated: >>> from cybertools.brain.state import State >>> n01.setState(State(1.0)) >>> n01.getState() >>> n01.notify() >>> n02.getState() To allow for concurrent (thread-safe) access to the brain all changes to the neurons' states is under the control of a transaction. If we end the current transaction all state changes will be forgotton: >>> from cybertools.brain.transaction import endTransaction >>> endTransaction() >>> n01.getState() >>> n02.getState()