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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 17

Neural Data Analysis I

Encoding

Pascal Wallisch

The primary goal of this chapter is to introduce you to the fundamental methods of analyzing spike trains of single neurons used to characterize their encoding properties: raster plots, peri-event time histograms, and tuning curves. While there are prepackaged tools available for these methods, in this chapter you will program these tools yourself and use them to analyze behavioral data recorded from a motor area of a macaque monkey.

Keywords

neural encoding; raster plot; peri-event time histogram; tuning curve

17.1 Goals of this Chapter

The primary goal of this chapter is to introduce you to the fundamental methods of analyzing spike trains of single neurons used to characterize their encoding ...

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