Visualizing LFP, spike, and Behavioral Data
This unit introduces fundamental techniques for visualizing electrophysiological data, with emphasis on local field potentials (LFP), neural spike trains, and associated behavioral measurements. You will explore NumPy array manipulation and Matplotlib plotting functions to extract meaningful patterns from multi-dimensional neural datasets. Through hands-on exercises with real experimental data, you’ll develop skills in creating both simple time-series plots and sophisticated 2D colormaps that reveal spatiotemporal dynamics across cortical layers.
The experimental dataset stems from a study by the Allen Institute for Brain Science, featuring high-density Neuropixels recordings from six visual cortical areas in behaving mice.