FIGURE
Figure 3.
- ID
- ZDB-FIG-230511-19
- Publication
- Wolf et al., 2023 - Emergence of time persistence in a data-driven neural network model
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Figure 3.
Comparison of model distributions and persistence times across fish and water temperatures.
(A) Distribution of the Kullback–Leibler divergences between test datasets and their corresponding Ising models (green), between test datasets and Ising models trained on different datasets (red) and between test datasets and their corresponding independent models that assume no connections between neurons (dark blue). Note that each dataset is divided in a training set corresponding to 75% of the time bins chosen randomly and a test set comprising the remaining 25%. (B) Average persistence times in simulations vs. experiments. Each dot refers to one fish at one water temperature; colors encode temperature. |
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