Brainchild: a fault tolerant neural network

Summary form only given, as follows. Brainchild is a neural network designed to bridge the gap between current neural models and the brain. It models the physical organization of neurons by using both feedforward and lateral connections. It also has a high degree of fault tolerance in keeping with neural connections. A series of tests were run on both Brainchild and a Hopfield model network to compare fault tolerance. Both hard and soft faults were used, as well as combinations of the two. Brainchild proved to be the more fault tolerant of the two.<>