Learning Objectives

Learning Objectives#

Once you’ve completed this lesson you should be able to:

Spike trains#

  • define spike trains

  • explain how spike train data is recorded

  • describe two ways of storing spike train data: time series and spike times

  • generate two type of visualizations of spike train data: raster plots and peri-stimulus time histograms (PSTHs)

  • interpret raster plots and PSTHs with respect to experimental manipulations

  • generate 2D heat maps of PSTHs

  • work with data sets comprising thousands of rows

  • generate correlation matrices of spike train data from multi-unit recordings

Python#

  • create and work with data in lists, NymPy arrays, and pandas DataFrames

  • use nested list comprehension

  • use subplots to plot multiple levels of data in a single graphic

  • generate 2D images from data

Data Visualization#

  • make informed decisions about accessible design in scientific visualization, including colour map choice and interpolation methods