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Signal Detection Theory (four possible outcomes (misses, falses alarms,…
Signal Detection Theory
"all decision making takes place in the presence of some uncertainty"
external noise
internal noise
four possible outcomes
misses
falses alarms
hits
correct rejections
components of the decision-making process
stimulus strength
response criterion
conservative
neutral
liberal
noise
ROC curve: % false alarms (X) vs. % misses (Y)
sensitivity d´
distance between peaks of N and N+S curve
d´ = z(P(H))-z(P(FA)) - d' = separation / spread
different to / not affected by criterion- true measure of the
internal response
setting the criterion - optimality
depends on signal probability
cost / benefits - payoffs
beta = ratio of (neural) activity produced by S and N at criterion C
optimal beta = probability N / probability S