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This psychophysical theory involves the following fundamental assumptions. At a hypothetical neural decision center, signal intensity is represented by several independent, parallel Poisson processes, whose rates are the same power function of physical intensity. All decisions about signal intensity are based on the observed times between successive neural pulses. The total number of these times observed per channel is at the option of the subject, up to the size of a memory store which is emptied when a decision is made. Overall response time is the sum of the decision latency, which depends both on the signal intensity and the decision rule, and a residual latency which is only assumed to be bounded. Decision rules are suggested for discrimination, recognition, magnitude estimation, detection, and simple reaction time designs, and predictions are derived from the theory in these cases and compared with existing data. Various familiar generalizations, such as Weber's and Bloch's laws and the inverse relation between reaction time and intensity, derive naturally from the theory. Crude estimates of all parameters—the exponent of the power function, the number of parallel channels, the size of the buffer store, and the bound on the residual times—are provided for sound intensity; estimates from different experimental designs appear to be reasonably consistent.

A neural timing theory for response times and the psychophysics of intensity.