Separable effects of factors on activation functions in discrete and continuous models: d' and evoked potentials.
This article derives tests for partial-output models of information processing. A process in a partial-output model sends output, while executing, to its successors. In a stage model a process sends output to its successors only when it stops. Both models can be analyzed by manipulating factors, each affecting a different process. In discrete serial models, such factors have additive effects on reaction time (Sternberg, 1969) and sometimes on log percent correct (Schweickert, 1985). In partial-output models, such factors produce a simple pattern, the rectangle condition, in performance curves. Conditions for a partial-output representation are based on decomposable structures (Krantz et al., 1971). Tests of discrete and partial-output models are simultaneously satisfied only if performance is a linear function of time. Evoked potentials (Coles et al., 1985) and d' (Dosher, 1981) illustrate results.
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D002540:Cerebral Cortex / Q000502:physiology; D004569:Electroencephalography; D005071:Evoked Potentials; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009424:Nervous System Physiological Phenomena; D009435:Synaptic Transmission