“…Feedback would seem most likely to facilitate criterion placement when base rates of old and new items are unequal, a condition not typically included in recognition experiments but more common in studies of category learning (e.g., Kruschke, 1996). By conveying the correct responses on a trial-by-trial basis, feedback should enable participants to tune in to underlying probabilities of old and new items and to adjust criterion accordingly (Estes & Maddox, 1995;Titus, 1973). The impact of feedback on response bias when base rates of old and new items are equal has been the subject of more recent work (Rhodes & Jacoby, 2007;Verde & Rotello, 2007), which we review below.…”