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. 2014 Dec 4;113(5):1480–1492. doi: 10.1152/jn.00611.2014

Fig. 3.

Fig. 3.

Effects of training on absolute response magnitudes (ARMs) and multiunit adaptation rates. The mean ARMs and adaptation rates of multiunit recording sites in NCM and CMM for subjects (n = 11) in response to GO, NoGO and novel auditory stimuli are shown. A: there was a significant main effect of training on ARMs in NCM (P < 0.05, repeated-measures ANOVA): responses were stronger for GO stimuli than NoGO stimuli (P < 0.05, Bonferroni post hoc test). B: there was also a significant main effect of training on ARMs in CMM (P < 0.0001, repeated-measures ANOVA). Here, novel stimuli evoked lower ARMs than reinforcement-predictive (GO and NoGO) stimuli did (P < 0.001 in both cases, Bonferroni post hoc test). In addition, multiunit adaptation rates showed main effects of training in NCM (P < 0.001, repeated-measures ANOVA) and CMM (P < 0.05, repeated-measures ANOVA). C: in NCM, NoGO stimuli were adapted to more slowly than GO (P < 0.01, Bonferroni post hoc test) and novel stimuli (P < 0.01, Bonferroni post hoc test). D: in CMM, NoGO stimuli were adapted to more slowly than GO stimuli (P < 0.05, Bonferroni post hoc test). Error bars depict within-subjects standard error. ARMs for representative multiunit responses (on trials 6–25) are shown for a novel, GO and NoGO stimulus for NCM (E) and CMM (F). Regression lines depict the adaptation of neural activity at each recording site. Brackets indicate significantly different comparisons.