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How to use ViterBrain
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+ * This folder is associated with the publication Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction (Athey et. al. 2022).
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* First, make sure that you have installed the ``brainlit `` package [`Documentation <https://brainlit.netlify.app/readme#installation >`_].
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* Second, uncompress the data ``brainlit/experiments/ViterBrain/data/example.zip ``.
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- * Then, you can run the tutorial notebooks in the ``notebooks `` folder:
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+ * Then, you can run some of the tutorial notebooks in the ``notebooks `` folder:
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* ``ViterBrain.ipynb `` - shows a programmatic example of the pipeline, based on zarr inputs.
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+ * ``fig3-voxels.ipynb `` - generates Figure 3 from the paper.
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+ * ``fig7-results.ipynb `` - generates Figure 7 from the paper.
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* other notebooks can be useful for referemce, they were used in generating results in the paper.
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* The files in the ``scripts `` folder also can be useful:
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