Nonlinear Psychophysical Dynamics utilizes new results in systems theory as a foundation for representing sensory channels as a form of recursive loop processes. It demonstrates that a range of phenomena, previously treated as diverse or anomalous, are more readily seen as related and as the natural consequence of self-regulation and nonlinearity. Some cases with appropriate data analysis are reviewed.
Table of Contents
Contents: General Qualitative Dynamics of Some Nonlinear Systems. Choice of a Recursive Core Equation. A Recursive Loop System Using . A Subjective Weber Function and Output Uncertainty. A Generic Dynamic Mapping of Environment onto . Further Variants on Mapping of Inputs. Cascading of the Loop. Elementary Identification of Variants and Parameters. Matching Data Patterns and Theory Patterns. Metric or Nonmetric Scaling: Properties of Outputs. Analogues of SDT and Isocriterion Plots. Range and Transposition Effects. Mixing and Attenuation. R sum .