| ---
|
| language:
|
| - en
|
| pipeline_tag: tabular-classification
|
| tags:
|
| - Computational Neuroscience
|
| license: mit
|
| ---
|
|
|
| ## Model description
|
| This model is part of the UnitRefine project and it is a direct port of [this model](https://huggingface.co/AnoushkaJain3/sua_mua_classifier_lightweight).
|
| The model is trained on recordings from 11 mice in the V1, SC, and ALM brain regions using Neuropixels probes.
|
| Each recording was labeled by at least two independent annotators, with different combinations of labelers, achieving an 80% agreement rate.
|
| This model utilizes a subset of metrics that are computationally efficient while maintaining robust classification performance.
|
|
|
| # Intended use
|
| Used to identify Noise clusters automatically in SpikeInterface.
|
|
|
| # How to Get Started with the Model
|
| This can be used to automatically identify SUA units in spike-sorted outputs. If you have a sorting_analyzer, it can be used as follows:
|
|
|
| ``` python
|
| from spikeinterface.curation import auto_label_units
|
| labels = auto_label_units(
|
| sorting_analyzer = sorting_analyzer,
|
| repo_id = "SpikeInterface/UnitRefine_sua_mua_classifier_lightweight",
|
| trusted = ['numpy.dtype']
|
| )
|
| ```
|
|
|
| ## 📜 Citation
|
|
|
| If you find [UnitRefine](https://github.com/anoushkajain/UnitRefine) models useful in your research, please cite the following DOI:
|
| **[10.6084/m9.figshare.28282841.v2](https://doi.org/10.6084/m9.figshare.28282841.v2)**.
|
|
|
| We will be releasing a **preprint soon**. In the meantime, please use the above DOI for referencing.
|
|
|
| ## 🔗 Resources
|
|
|
| - **GitHub Repository:** [UnitRefine](https://github.com/anoushkajain/UnitRefine)
|
| - 📖 **SpikeInterface Tutorial – Automated Curation:**
|
| [View Here](https://spikeinterface.readthedocs.io/en/latest/tutorials_custom_index.html#automated-curation-tutorials)
|
|
|
| UnitRefine is **fully integrated with SpikeInterface**, making it easy to incorporate into existing workflows. 🚀
|
|
|
|
|
| # Authors
|
|
|
| Anoushka Jain and Chris Halcrow
|
|
|
