THE DETECTION OF MARKOVIAN SEQUENCES OF SIGNALS.
Technical rept. no. 23,
CALIFORNIA UNIV LOS ANGELES
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The influence of constrained stimulus sequences on detection was studied in a two-alternative temporal forced choice task with feedback. Three observers listened to a weak pure tone embedded in noise whose probabilities of occurrence and repetition in an interval were governed by a first-order Markov process. Each observer listened to examples of each of nine different Markov chains. Results were a A single function relating detections to false alarms fitted individual sets of data well, in agreement with the theory of signal detectability, except b that detection was higher for more extreme repetition probabilities c Responses depended strongly on the previous stimulus with d the dependence being peculiar to a given chain e Detection probabilities increased during runs of signals in the same interval, yet f probability of detection on the first trial of a run in a given interval did not depend on the length of the preceding run in the other interval. Author