Posts
Surveying Neural Spiking in Visual Cortex with Pandas and Seaborn
In this post, I'll demonstrate how to use the Python libraries Pandas and Seaborn to ananlyze and plot spiking data from hundreds of neurons located in different areas of the visual cortex.
EEG preprocessing II: eye-artifacts, repairing and rejecting
The second part of this series demonstrate additional preprocessing steps. Specifically, it addresses the problem of eye artifacts which are omnipresent in EEG recordings. It also demonstartes a procedure for repairing and rejecting noise-contaminated channels and segments.
EEG preprocessing I: detrending, denoising and referencing
Preprocessing is an important and controversial topic in EEG research. Here, I discuss it's necessity and present a minimal preprocessing pipeline that deals with the most common sources of noise while avoiding to distort the data. I demonstrate each step using publicly available data.