What is the role of the activation function in an artificial neural network?

Group of answer choices

The activation function is a linear function that calculates the error at the end of each node and transmits that error to the next node.

It is a function that maps the resulting values of each node and passes the mapped value to the next node.

It is a function that calculates gradients in each step.