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Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models

Fig 5

Behavior vs. Neuronal temporal structure:

(a) Sojourn-time distribution for forward (left) and turn states (right) : behavior (black), neuronal before (orange) and after (magenta) temporal re-scaling. A single re-scaling factor is used for forward and turning states, for all temperatures, and recordings. (b) Behavior vs. neuronal state-transition probabilities (for all state pairs and all temperatures), before (left) and after (right) temporal re-scaling. Each dot represents a single transition probability at a given temperature. For neuronal state-transition, we show the mean and standard error over all recordings. (c) Diagram showing two possible transition trajectories between left and right states in ARTR space. Transitions through the forward state are more probable (see panel d). (d) Distributions of for behavior (black) and neuronal data before (orange) and after (magenta) temporal re-scaling (all temperatures combined). These distributions are shown as standard box plots (median, quartiles, and outliers beyond the inter-quartile range from the median).

doi: https://doi.org/10.1371/journal.pcbi.1013762.g005