MEA Viewer Paper is Out
When I was a researcher in neuroscience my primary field of study was investigating the electrophysiology of neuronal ensembles using multi-electrode arrays (MEAs). Throughout our work we discovered and advanced techniques to view action potential propagation on medium density arrays, where the inter-electrode distance is between 100-200 microns. Typically propagation signals are measured using much denser arrays, with their corresponding larger amounts of data to manage. A demonstration of a propagation signal is shown in this d3.js animation.
The tools for viewing the data generated by the multi-electrode arrays were fairly crude at the time, so I developed a piece of software to easily visualize and interact with the recorded analog signals. The software is written in Python and uses the excellent vispy library for its graphics interface. You can get a brief overview of MEA Viewer with the following video, and also read the MEA Viewer paper, which was just published, for more technical detail.
