19 - Introduction to Spike Trains
Channel: Aaron J Newman
Date: 2021-11-05

This chapter introduces data obtained from recordings of individual neurons, which we typically call single unit data (“units” being neurons). Single unit data is typically analyzed in terms of spike trains — sequences of action potentials. In this chapter we will learn how spike trains can be represented as data, and some ways of working with and visualizing them. As well, the chapter extends our knowledge of Python, including working with NumPy arrays, and complex figures with multiple subplots, as well as further discussion of the use of colour and other considerations in scientific visualization.

In this first lesson on spike trains, we learn what a spike train looks like, and how to visualize spike trains across trials using raster plots and peri-stimulus time histograms (PSTHs). 

From the course, NESC 3505 Neural Data Science, by Aaron J Newman, Dalhousie University, Halifax, NS, Canada. 

All course videos are here: https://bit.ly/neural_data_science_videos

Textbook is available here: http://neuraldatascience.io/intro.html