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Hi,
I have some recordings from a 64-channel probe with poor signal-to-noise ratio. In the raw data I can clearly see spikes on most channels, albeit with low amplitude, but Kilosort seems not to …
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Hi Ferchaure,
I was just wondering, in instances where there is a cluster 1 but no cluster 0 (see below), does this mean that the detected units that would usually fall into cluster 0 have all grou…
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Hello everyone,
I am sorting around 5-6s of data per trial from 256 channels, and I have around 320 trials. The number of neurons detected varies in each trial from around 227 to more than 500 witho…
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In some of the identified clusters after running the whole pipeline, the timestamps for spikes do not represent the peak amplitude of the spikes, but seem shifted. This happens to all spikes within th…
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**Context:**
I have had several prints that came up fishy with false positives on infill. It would be helpful to see specifically where (when in time) those get flagged instead of blindly scrubbing t…
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This issue is best illustrated with a picture (see attached)
Kilosort originally gave me two units (yellow and green in the attached plot) but I noticed that there was unphysiologically high 0ms co…
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Visible from NGHZ1, spikes seem to be facing the right, rather than the left.
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**What problems are you trying to solve?**
Machine learning (ML) based anomaly detection outputs rare data patterns via statistical analysis of past data. However, few machine learning (ML) models …
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To mask out absurd measurements from NEON data @ddurden recommended using these min and max thresholds that are used in Ameriflux data processing.
@negin513 , it's not urgent but can you bring thes…
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**real-time performance**
Hi, thanks for your useful toolkit for anomaly detection of time series.
I have a question about whether the 'oddity' works (well) in real-time anomaly detection from time…