Prefrontal Manifold Geometry Contributes to Reaction Time Variability

Spike counts from cells recorded from the Frontal Eye Fields (FEF) and dorso-lateral prefrontal cortex (DLPFC) of 2 non-human primates preforming a delayed memory saccade task. Each file contains spike counts for all cells aligned to either target onset, go-cue onset or movement (saccade) onset. The suffix 'raw' indicates whether the file contains raw spike counts, or spike counts normalized to the pre-fixation baseline. 

The data are stored in an HD5-based format for objects created with the Julia progamming language. The following code snippet shows how to load the data

```julia

using JLD2

ppsth,labels, trialidx, rtimes = JLD2.load("ppsth_fef_mov.jld2","ppsth", "labels","trialidx","rtimes")

```

Here, the variable `ppsth` contains the spike counts in `ppsth.counts`, the bins in `ppsth.bins`. The variable `labels` contains the label of the target shown for each trial and for each cell. Note that, `length(labels)==size(ppsth.counts,3)` is the number of cells and `length(labels[1])` is the number of correct trails for cell `. The variable `rtimes` contains the reaction time for each session used. The session name for each cell can be found by examining the variable `ppsth.cellnames`, where the name of each cell has the format "Animal/date/session/array/channel/cellid/", e.g. "J/20140904/session01/array01/channel001/cell01" denotes the first cell on the first channel of the first array recorded in the first session on 4th September 2014 from animal J.

In addition to spike counts, this dataset also contains processed data for producing the main figures in an upcoming manuscript. To reproduce the figures, first go to the paper's repository and follow the installation instructions. Then, download the data files to a 'data' sub-folder, and run the codes as instructed in the repository's README file.