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This task requires moveable or retractable operanda; insertion of operanda into the operant chambers cues animals to respond to a prior signal or non-signal event, reporting either a hit or a miss, or a correct rejection or false alarm, respectively.
Signal detection theory calls these faithful matches a "hit" and a "correct rejection", respectively.
Conversely, if the stimulus was not studied before but the participant responds positively, then this is a false alarm, and if the participant responds negatively, it is a correct rejection.
According to the 1HT model, New items can only enter a guess state, from whence it can be guessed "Old" (a false alarm) or guessed "New" (a correct rejection).
Conversely, if an innocent suspect from a target absent show-up falls above c, it will be classified as "Old" and the witness will make a false ID; if it falls below c, it will be classified as "New" and the witness will make a correct rejection.
Consistent with human CPTs [8], successful inhibition of a response in a no-go trial resulted in a correct rejection (CR) being recorded and reward delivered.
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Main dependent variables were (1) success rate (button press for Go stimuli "X", "A" and correct rejection of Nogo stimuli "B"), (2) response time for correct hits (RT of button press to Go stimuli) and (3) intra-individual variability of response time for correct hits (RT-SD).
In Figure 4, higher disease prevalence and case correlation resulted in a higher correct rejection fraction.
The likelihood to commit an error with a YES-response (hit, false alarm) was twice as high as compared to a NO-response (correct rejection, miss).
That is, the shape of the f(x| C) curve follows the signal distribution when x > c (a Type I hit) and the noise distribution when x < c (a Type I correct rejection).
If the assumption of underspecification holds, lexico-semantic memory search processes would be successful when a non-coronal variant is presented (first activating the corresponding coronal target word), but not when a coronal variant is presented (immediate correct rejection as a non-existing lexical item).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com