The stimulus-response model is a characterization of a statistical unit (such as a neuron) as a black box model, predicting a quantitative response to a quantitative stimulus, for example one administered by a researcher.
The object of a stimulus-response model is to establish a mathematical function that describes the relation f between the stimulus x and the expected value (or other measure of location) of the response Y:
A common simplification assumed for such functions is linear, thus we expect to see a relationship like
|This statistics-related article is a stub. You can help Wikipedia by .|