Introduction

Name

span stands for spike analysis.

Motivation

span arose out of the need to do the following operations in a reasonably efficient manner:

• Read in TDT files into NumPy arrays.
• Group data arbitrarily for firing rate analyses, e.g., average firing rate over shanks, collapsing across channels (thanks to Pandas).
• Perform cross-correlation analysis on the binned and thresholded spikes, again using arbitrary grouping

Disclaimer

Naturally, because this is software, if you use it you’ll likely find a bug. If you’re so inclined please create an issue using the Github tracker and I will attempt to fix it.

TODO

See the Github issues page.