Unless otherwise indicated, all glossary content is: (C)
Copyright 2008-2013 Dominic John Repici ~ ALL RIGHTS RESERVED ~
No part of this Content may be copied without the express
written permision of Dominic John Repici. Also known as a
neurode, or artificial neuron when used in the context of an
artificial neural network (ANN). In essence, a neuron's primary
function is to receive a multitude of input signals from
external sources, or from other neurons in the neural network,
and produce an output signal. A typical neuron in an ANN
produces a single output value (called an axon level in Netlab)
that roughly represents the weighted combination of the values
on its inputs, called synapses. The neuron's axon can be
connected to the inputs of other neurons, or to outside
processes. Other neurons (and input devices) are connected
through the neuron's input synapses. These synapses modulate, or
gate, the input signals connected to them by weight values
before combining them together to form the neuron's output. In