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@@ -26,6 +26,20 @@ This can be used to automatically identify noise in spike-sorted outputs. If you
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  trusted = ['numpy.dtype']
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  )
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Authors
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  trusted = ['numpy.dtype']
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  )
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  ```
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+ ## πŸ“œ Citation
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+ If you find [UnitRefine](https://github.com/anoushkajain/UnitRefine) models useful in your research, please cite the following DOI:
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+ **[10.6084/m9.figshare.28282841.v2](https://doi.org/10.6084/m9.figshare.28282841.v2)**.
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+ We will be releasing a **preprint soon**. In the meantime, please use the above DOI for referencing.
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+ ## πŸ”— Resources
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+ - **GitHub Repository:** [UnitRefine](https://github.com/anoushkajain/UnitRefine)
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+ - πŸ“– **SpikeInterface Tutorial – Automated Curation:**
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+ [View Here](https://spikeinterface.readthedocs.io/en/latest/tutorials_custom_index.html#automated-curation-tutorials)
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+ UnitRefine is **fully integrated with SpikeInterface**, making it easy to incorporate into existing workflows. πŸš€
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  # Authors
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