Abstract
We present a phenomenological parametric model for time–intensity (T–I) curves. The rising and decaying parts of the curve are described by logistic curves. The logarithm of their product models the sensory response. A crucial feature of the model is its ability to fit the long straight tails often seen in T–I data, as well as plateaus of arbitrary length. The parameters of the model have a straightforward correspondence to the shape of the curve. We discuss fitting of the model, show results for experimental data and show how systematic patterns of deviations from the prototypical T–I curve shape lead to directions for extension of the model.
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