Fig. 5: Proportions of sessions it took each mouse to reach the next major step in training, as defined by the three stages. | Nature Neuroscience

Fig. 5: Proportions of sessions it took each mouse to reach the next major step in training, as defined by the three stages.

From: Infinite hidden Markov models can dissect the complexities of learning

Fig. 5: Proportions of sessions it took each mouse to reach the next major step in training, as defined by the three stages.

Each individual is represented as a circle on the simplex (the larger the proportion of sessions within a specific stage, the closer the dot for that animal is to that corner of the simplex). Simplex corners are identified by example PMFs of the stage type. The marker area indicates the total number of sessions (min, 5; max, 75). The magenta circle marks the average proportion, and its size indicates the mean number of sessions (which was 24.4). See Supplementary Fig. 1 for a linear version of this plot. The histogram on the right shows the distribution over the number of states used by the model per mouse. The histogram on the left shows the distribution over the number of training sessions.

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