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

Fig. 6.

Fig. 6.

Speed of acquisition and resultant neural representations. Repeated-measures ANOVAs compared responses to GO (solid bars), NoGO (open bars) and novel (hatched bars) stimuli to test the effects of learning on ARMs and adaptation rates in NCM and CMM. There were main effects of training on the ARMs and adaptation rates in NCM and CMM. However, there were also significant interactions between speed of learning and stimulus reinforcement-prediction on the CMM ARM data (P < 0.05; A) and the NCM adaptation data (P < 0.05; B). Bonferroni post hocs revealed that fast learners showed slower adaptation to NoGO stimuli than novel stimuli in NCM (P < 0.01), as well as stronger ARMs to NoGO stimuli than novel in CMM (P < 0.01). Slow learners showed stronger ARMs to GO stimuli than novel stimuli in CMM (P < 0.01). Error bars denote within-subjects standard error values.