Abstract
In the field of artificial intelligence, which has a large influence on our lives today, the term “neural network” has been gaining popularity. It usually refers to a dense web of simple units, each of which may be in one of two states (on/off) and impacts of the state of other units connected to it. What exactly is the relationship between the way a nerve cell acts and the way artificial intelligence works? How is the action of an artificial neural network similar to a network of neurons in the human brain? This article tries to answer these questions. We will summarize how thinking happens, provide a short description of how a nerve cell works, describe the similarities between a nerve cell and a basic unit of a logical system, and finally show how connecting several such units is the basis for artificial intelligence.
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