I. Introduction to Neural Networks

I. Introduction to Neural Networks
The model used to simulate artificial neural networks is based on the biological nerve cell or neuron shown in Figure 1. Electrical signals arising from impulses from our receptor organs (e.g. eyes, ears) are carried into neurons on dendrites. Neuron outputs are transmitted along axon branches and join with outputs from other neurons at contact points called synapses. Each signal entering a synapse is "weighted" and summed with all the other inputs to that synapse. If the sum of the weighted inputs exceeds a particular threshold signal level for the neuron, the neuron is said to "fire".