Open baoloc10 opened 6 years ago
There is no built-in tool for doing this yet. Are you more comfortable in matlab or python? I can help guide you in doing this using a script.
I was able to concatenate and convert the .ncs files to .mda in matlab. However, I don't think the data is correct. I would really appreciate it if you could also provide me with the script, in either matlab or python.
After running the mountain sort with the built-in pipeline and comparing it with the raw data, it seems like mountain sort is has a very low threshold for what is considered a spike in the data. When I tried to edit the built-in pipeline and changing the min frequency in the sort pipeline, for some odd reason, as I increased the min frequency, the amount of timepoints in the firings.mda file increases. This seems very counter-intuitive to me. I could also be editing the wrong parameter. For us, spikes are those that surpasses ~100microV's. Where we would edit that?
Could you please guide me through how to increase the threshold or just filter and sort out better spikes?
Thank you.
Also, the cluster metrics view in mountain view shows a blank screen for some reason. Any idea what could've caused it?
What are the Y-axis for "Timeseries-Data" and "Cluster Detail" views in mountain view? I can't seem to find documentations on it.
Edit: It's because I don't have a cluster_metrics.json. What is the format for the cluster metrics?
Sorry for the delay, did you resolve this?
Hi,
I was wondering if there is any built in tools that can help me convert multiple (8) .ncs files (they are Neuralynx data) into 1 .mda file? Or is there a tutorial on how I can achieve this?
I've try using the built in mdaconvert program to directly convert .ncs to .mda, but it seems like it can only convert 1 .ncs to 1 .mda.
Each of my .ncs file is data for a single channel. So I need to combine them into 1 .mda file to do the sorting algorithm.
Thank you.