Principal Components Analysis
Pascal Wallisch
How do you represent stimulus encoding of a population of neurons or of a time-varying firing rate? One solution is to try to compress data to make them easier to work with. If you can reduce the dimensionality to two or three dimensions, you can then use your visualization tools. In this chapter you will see how principal components analysis can be used to perform dimensionality reduction. You will also explore an application of this technique for spike-sorting neuronal waveforms.
Keywords
principal components analysis; sample covariance; spike; threshold
19.1 Goals of this Chapter
Previously, we explored how MATLAB® can be used to visualize neural data. This is a powerful tool. For example, ...
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