The simple on/off output is a defining characteristic of perceptrons. At a node-internals level, this basic layout is fairly universal to neural nets. The number of inputs and outputs can vary.

Rosenblatt and others soon discovered that a single perceptron can only classify very simple images, like straight lines. However, other scientists found that combining perceptrons into layers has ...

The simple perceptron, the neuron underpinning the most recent advances in AI, has been around since the late 1950s. Its simplicity has supported a range of innovations in the transformers ...

He called his IBM 704-based model Perceptron. A New York Times headline called it an “Embryo of Computer Designed to Read and Grow Wiser.” ...

The story cited the U.S. Navy as saying that the Perceptron would lead to machines that “will be able to walk, talk, see, write, reproduce itself and be conscious of its existence.” ...