Dataset #1 ![]() | Classification learning |
Dataset #2 ![]() | Classification learning and stop-signal (1 year test-retest) |
Experimental conditions are the subsets of an experiment that define the relevant experimental manipulation.
An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).
Definition contributed by RPoldrack about two years ago:
Subjects are presented with a set of stimuli and must classify those stimuli into one of two categories. In a common version known as the "weather prediction task" the stimuli are cards with geometric shapes on them and the outcomes are rainy versus sunny weather. The feedback is probabilistic, and performance is measured by the proportion of statistically optimal responses.