Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering

@article{Quiroga2004UnsupervisedSD,
  title={Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering},
  author={R. Quiroga and Z. Nadasdy and Y. Ben-Shaul},
  journal={Neural Computation},
  year={2004},
  volume={16},
  pages={1661-1687}
}
This study introduces a new method for detecting and sorting spikes from multiunit recordings. The method combines the wave let transform, which localizes distinctive spike features, with super paramagnetic clustering, which allows automatic classification of the data without assumptions such as low variance or gaussian distributions. Moreover, an improved method for setting amplitude thresholds for spike detection is proposed. We describe several criteria for implementation that render the… Expand
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