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curation_machine_learning_models

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Computational Neuroscience
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@@ -31,6 +31,8 @@ There are two tutorial notebooks:
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  2. load your sorting depending on the spike sorter you used to create the 'sorting' object
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  3. Then you can create a Sorting_Analyzer object and you compute quality metrics.
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  auto_label_units is the main in this notebook. API link to know the parameters:
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  (https://spikeinterface--2918.org.readthedocs.build/en/2918/api.html#spikeinterface.curation.auto_label_units)
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  2. load your sorting depending on the spike sorter you used to create the 'sorting' object
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  3. Then you can create a Sorting_Analyzer object and you compute quality metrics.
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+ These steps are explained in more details in the jupyter notebook in files folder.
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+
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  auto_label_units is the main in this notebook. API link to know the parameters:
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  (https://spikeinterface--2918.org.readthedocs.build/en/2918/api.html#spikeinterface.curation.auto_label_units)
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