Sort only part of the data

[cindyhfls]

So I wanted to use Kilosort for only 2 arrays out of 6 (the last 2). Each array has 32 channels, and they are recorded in different regions.

What do I need to change to make it possible? My data is recorded with Ripple and stored in a .ns5 file.

I kept getting errors when I change the channel map to only the last 64 channels.

[cindyhfls]

Hi Nick! @nsteinme

I was just wondering about the input and output format of the kilosort code.

Since I used a Ripple system, my data is saved in .ns5 and .nev files, where they have analogue channels and raw channels etc. I want to figure out which part of the data I really need to extract into the binary format. Is it the microvolts data or the time or both that I needed?

Also, while the output of the Kilosort result is best visualized with a PHY-GUI. Is is possible to view it in other software, e.g. Plexon offline-sorter, neuroexplorer etc.?)

Thanks

Cindy

[nsteinme]

Hi, you need to provide kilosort with the raw recorded continuous traces. It will find the spike shapes and spike times.

It should be possible to visualize in other software, but you will need to convert the output format. See here for a description of exactly what kilosort produces.

[cindyhfls]

Thanks!
I have tried extracting raw channels from four channels and run them through the algorithm and it looked very bad.

The raw data from the DATA matrix output from kilosort looked fine, but the temp_wh.dat (after whitening?) was empty.

I was wondering if I that is because I need to change ops.intialize to 'fromData' or some other parameters?

[nsteinme]

Hm, I'm not sure where it has gotten lost. You're right that temp_wh.dat should have whitened data. I'm not sure ops.initialize will help but you could try it. Maybe also double-check that the channel map is correct (should be just [1:4] in this case). Maybe also try ops.whiteningRange=Inf. Otherwise I think you need to work backwards from line 282 in preprocessData (where the temp.wh file is written) to figure out where the data got lost. Sorry it's hard to be more helpful...

[cindyhfls]

I have the channel map correct and whitening range set to infinity. It seems that line 282 was not run because the if statement condition wasn’t satisfied. I do see CC arrays Wrot arrays although I don’t know what they meant. The uproj structure was also empty.

[nsteinme]

If you can make a small dataset that reproduces the problem and post a dropbox link to it, then I can try to take a look. I'm not sure I will be able to do it soon though, apologies in advance...

…

On Tue, Jan 30, 2018 at 5:16 PM, cindyhfls ***@***.***> wrote: I have the channel map correct and whitening range set to infinity. It seems that line 282 was not run because the if statement condition wasn’t satisfied. I do see CC arrays Wrot arrays although I don’t know what they meant. The uproj structure was also empty. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#112 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AHPUP1_ubIHNjyvBmXw-8635KrRk9HqQks5tP05FgaJpZM4Rko3U> .

[cindyhfls]

Here's the data. https://drive.google.com/open?id=1fODOLnJVicJiRh3m7946xP-1bUds6EPT
@nsteinme

Thanks!

[cindyhfls]

Just an update. I tried on raw data from all 32 channels and then the whitened data was still missing and I only got <50 spikes in total in the final output

@nsteinme

[cindyhfls]

[cindyhfls]

@nsteinme
Our data ranges from -40 to 200. We saw that the eMouse data range from zero to a few hundreds. Does it matter the range of data to use, or is just for simulation purposes?

Cindy

[cindyhfls]

@nsteinme Did you get a chance to look at the data?