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MATLAB for Neuroscientists, 2nd Edition by Nicholas G. Hatsopoulos, Adam Seth Dickey, Tanya I. Baker, Marc D. Benayoun, Michael E. Lusignan, Pascal Wallisch

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Chapter 19

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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