Originally published in 1992, this work compliments and extends the
theory and results of nonlinear psychophysics - an original
approach created by the author. It breaks with the traditional
mathematics used in the experimental psychology of sensation and
draws on what is popularly known as chaos theory and its extension
into neural networks. Topical and innovative in its approach, it
integrates a diversity of topics previously treated separately into
one framework. The properties of the mathematics used are
illustrated in the context of substantive problems in
psychophysics; thus, it builds strong new bridges between the
dynamics of mass action in psychophysical processes and the broader
phenomena of sensation. No other treatments of the topic take quite
this approach; the use of systems theory, rather than traditional
equations of psychophysics dating from the mid-nineteenth century,
offers a striking contrast in both theory construction and data
analysis.
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