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An Unsupervised and Automatic Spike Sorting Method based on the Joint Optimization of Linear Discrimination Analysis and Density Peaks

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LDA-DP

An Unsupervised and Automatic Spike Sorting Method based on the Joint Optimization of Linear Discrimination Analysis and Density Peaks. Run_Sample.m is an example of use.

How to detect

Run DetectWave.m to detect spikes from raw data.

How to sort

Run ldadp_fuc.m to do the sorting.

Input


X: Waveforms of the spikes.
Sample_data: Number of the spikes
Dim_sub: dimension of the feature
numCluster0: initial number of clusters
flagMerge: merge the cluster or not

Output


Idx_sort: the cluster label
Idx_center: the centers of each clusters

References

How to cite

A Robust Spike Sorting Method based on the Joint Optimization of Linear Discrimination Analysis and Density Peaks. Yiwei Zhang, Jiawei Han, Tengjun Liu, Zelan Yang, Weidong Chen, Shaomin Zhang. BioRxiv 2022.02.10.479846; doi: https://doi.org/10.1101/2022.02.10.479846

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An Unsupervised and Automatic Spike Sorting Method based on the Joint Optimization of Linear Discrimination Analysis and Density Peaks

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