End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging
Fig 5
Comparison of input window length and target label’s temporal position.
(A) Examples of input window and position of the target labels for behavior classification were shown. “Length” defines the duration of the input window, which ranges arbitral time (e.g., 0.5 s) before and after the center of the input window (0 s). “Shift” defines the temporal location of the target label of behavior classification from the center of the input window. The length 0.5 s and the shift 0 s were used for the criteria for evaluation. (B) The decoder performance of different lengths using a fixed shift 0 s. *P < 0.05, **P < 0.01, Wilcoxon rank-sum test with Holm correction, n = 20 models. (C) The decoder performance of different shifts using a fixed length of 0.5 s. N.S., not significant, *P < 0.05, **P < 0.01, ***P < 0.001, Wilcoxon rank-sum test with Holm correction compared with shift 0 s, n = 20 models.