Node in an artificial neural network (ANN) that receives weighted input data and subsequently generates outputs based on usually non-linear functions.

ETSI GR ENI 004 node in an ANN that receives weighted input data, adds the data, and produces an output using a non-linear output function.

NOTE: The output function is also called a transfer function or activation function, and represents what portion of the potential action is transmitted.

ISO/IEC DIS 22989 primitive processing element which takes one or more input values and produces an output value by combining the input values and applying an activation function on the result.

Note 1 to entry: Examples of nonlinear activation functions are a threshold function, a sigmoid function and a polynomial function.

ISTQB - CTAI Syllabus neuron: A node in a neural network, usually receiving multiple input values and generating an activation value