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Update README.md

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@@ -49,17 +49,17 @@ There are two tutorial notebooks:
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  output_folder = str(output_folder),
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  imputation_strategies = None,
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  scaling_techniques = None,
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- classifiers = None, # Default to Random Forest only. Other classifiers you can try [ "AdaBoostClassifier","GradientBoostingClassifier",
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- # "LogisticRegression","MLPClassifier","XGBoost","LightGBM", "CatBoost"]
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  )
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  ```
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- Acknowlegments:
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  I would like to thank people who have helped a lot in this project:
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- * For code refactoring and helping integration in Spikeinterface : Chris Halcrow, Jake Swann, Robyn Greene
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- * Curators : Nilufar Lahiji, Severin Graff, Sacha Abou Rachid, Luca Koenig, Natalia Babushkina, Simon Musall
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- * Advisors : Alessio Buccino, Matthias Hennig and Simon Musall
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  Also all my amazing lab members : https://brainstatelab.wordpress.com/
 
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  output_folder = str(output_folder),
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  imputation_strategies = None,
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  scaling_techniques = None,
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+ classifiers = None, # Default to Random Forest only. Other classifiers you can try [ "AdaBoostClassifier", "GradientBoostingClassifier",
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+ # "LogisticRegression", "MLPClassifier", "XGBoost", "LightGBM", "CatBoost"]
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  )
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  ```
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+ Acknowledgments:
58
 
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  I would like to thank people who have helped a lot in this project:
60
 
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+ * For code refactoring and helping integration in Spikeinterface: Chris Halcrow, Jake Swann, Robyn Greene
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+ * Curators: Nilufar Lahiji, Sacha Abou Rachid, Severin Graff, Luca Koenig, Natalia Babushkina, Simon Musall
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+ * Advisors: Alessio Buccino, Matthias Hennig and Simon Musall
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  Also all my amazing lab members : https://brainstatelab.wordpress.com/