Open corticodes opened 5 years ago
Very cool data. Marius may have to advise about parameters, though it looks like you're oversampling so significantly in time that you could get away with downsampling to make it look more like a normal-speed recording to KS. Also, the 'filtering' step does both filtering and spatial whitening so that will also account for some of the shrinking of the waveforms.
Re: prediction, that will be flat until you run the algorithm (which you hadn't done yet at least in the screenshots you're showing).
On Mon, Apr 1, 2019 at 12:24 AM corticodes notifications@github.com wrote:
Hello, I am trying to use KiloSort2 to sort data which came from recordings of a turtle brain. I think that the spikes are a little slower then the spikes that are usually being sorted by the algorithm. When I try using the GUI, it seems that in the filtered data the spikes are being highly attenuated, and looking in the prediction data it seems to miss them altogether (print-screens attached).
I have tried changing the ops.fshigh parameter in configFile384.m to 50 (instead of 150) and it seemed to help a little (I could only see that change in the GUI after doing the spike sorting), but still the predicted data misses spikes (and anyway they are still attenuated).
Is this the right way to go? And if so, what other parameters do you think I should try to play with?
Thanks for your help!
[image: gui before sorting - filter] https://user-images.githubusercontent.com/46958640/55309897-c4b3e780-5467-11e9-9498-88fda7ce41c2.PNG [image: gui before sorting - prediction] https://user-images.githubusercontent.com/46958640/55309899-c4b3e780-5467-11e9-8f9d-85e6daebd68d.PNG [image: gui before sorting - raw] https://user-images.githubusercontent.com/46958640/55309901-c4b3e780-5467-11e9-9c6b-d871160cabae.PNG [image: gui before sorting - raw+filter] https://user-images.githubusercontent.com/46958640/55309902-c4b3e780-5467-11e9-8a52-da34ce566baf.PNG
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Thanks for your response! Are you suggesting that we're oversampling because of the sampling rate in the screenshots? Because actually the sampling frequency was 20kHz (I guess I was a bit hasty in taking these screenshots, but these results are what we get also after defining 20kHz. Sorry for the confusion!). So downsampling would be problematic, and I think playing with the parameters might be more suitable? As for the prediction - you're right, it does appear after I run the kilosort. Thanks!
Nick meant that you're over sampling relative to the duration of the spike. The easiest thing might be to bin your data so that trough to peak is about 10 samples, like a cortical spike recorded at 30khz.
The filtered data is indeed supposed to look like that, but if you're missing spikes that could be because they're too long. Check out ops.wPCA after sorting and post them here to give us a sense of your spikes duration and how they fit in the sliding window size of Kilosort2.
Hello, I am trying to use KiloSort2 to sort data which came from recordings of a turtle brain. I think that the spikes are a little slower then the spikes that are usually being sorted by the algorithm. When I try using the GUI, it seems that in the filtered data the spikes are being highly attenuated, and looking in the prediction data it seems to miss them altogether (print-screens attached).
I have tried changing the ops.fshigh parameter in configFile384.m to 50 (instead of 150) and it seemed to help a little (I could only see that change in the GUI after doing the spike sorting), but still the predicted data misses spikes (and anyway they are still attenuated).
Is this the right way to go? And if so, what other parameters do you think I should try to play with?
Thanks for your help!