This is a set of tools for analysing multi-electrode electrophysiology recordings The package has been developed by the O'Meara lab at UMich and the Margolis Lab at UCSF.
From within R,
install.packages("remotes")
remotes::install_github("momeara/mema")
The mema package requires a working C++ complier. If you have issues
installing on windows due to Rtools errors, follow the
instructions here: https://cran.r-project.org/bin/windows/Rtools/
From the output generated from the MED64 matlab analysis code e.g.
<project_directory>/<experiment_tag>/units.<timestamp>.mat
<project_directory>/<experiment_tag>/treatmentinfo.<timestamp>.csv
From within R load the mema package
library(tidyverse)
library(mema)
Load an experiment
setwd("<project_directory>")
experiment <- mema::load_experiment(
units_fname = "<experiment_tag>/units.<timestamp>.mat",
treatments_fname = "<experiment_tag>/treatmentinfo.<timestamp>.csv",
experiment_tag = "<experiment_tag>")