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. 2010 Apr 28;104(1):569–575. doi: 10.1152/jn.00121.2010

Fig. 2.

Fig. 2.

Recognition of behavioral states in a mouse using a neural network-based algorithm. The data used for this analysis is shown in Supplemental Fig S1. Traces in red show manually recorded behaviors and traces in blue show the output of the algorithm with quantification of true positive rate (TPR) and false positive rate (FPR). A: grooming. B: resting. C: eating. D: rearing. E: average performance of the algorithm over 6 recording sessions in 3 mice.