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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. Such models conceptually tie together stimulus and response
Fields of applicationEdit
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
- ↑ Greg Cashman (2000). "International Interaction: Stimulus–Response Theory and Arms Races" What causes war?: an introduction to theories of international conflict, Lexington Books.
- ↑ Stephen P. Kachmar and Kimberly Blair (2007). "Counseling Across the Life Span" Jocelyn Gregoire and Christin Jungers The Counselor's Companion: What Every Beginning Counselor Needs to Know, Routledge.
- ↑ Walter W. Piegorsch and A. John Bailer (2005). "Quantitative Risk Assessment with Stimulus–Response Data" Analyzing environmental data, John Wiley and Sons.
- ↑ Geoffrey W. Hoffmann (1988). "Neurons with hysteresis?" Rodney Cotterill Computer simulation in brain science, Cambridge University Press.
- ↑ Teodor Rus (1993). Systems methodology for software, World Scientific.
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