Traditionally, the term neural network had been used to refer to a network or circuitry of
biological neurons. The modern usage of the term often refers to
artificial neural networks, which are composed of
artificial neurons or nodes. Thus the term 'Neural Network' has two distinct connotations:
Biological neural networks are made up of real biological neurons that are connected or functionally-related in the
peripheral nervous system or the
central nervous system. In the field of
neuroscience, they are often identified as groups of neurons that perform a specific physiological function in laboratory analysis.
Artificial neural networks are made up of interconnecting artificial neurons (usually simplified neurons) which may share some properties of biological neural networks. Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving traditional artificial intelligence tasks without necessarily attempting to model a real biological system.
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