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Problem when reading neuralynx header from Cheetah 5.6.2

5

Using the spikeinterface.extractors.read_neuralynx does not seem to work on headers created using Cheetah software 5.6.2. Works fine on header from Cheetah 6.4.1. Here is a link to google drive with...

JohnStout

Tools for Generation of Hybrid recordings

6

For the hybrid project, make a function that can get Templates from any recording. To be discussed, as some features to play/interact with Templates are currently only written for WaveformExtactor...

yger

Patch to skip chunks without peaks or if enough peaks have been detected

5

Could such a solution work @samuelgarcia ? This is a patch to try to address #2001. The idea is that if we have a PeakSource node, and no peaks between...

yger

Allow `export_to_phy` to work with `fast_templates`

3

DradeAW

frame slice lost spike train on merged units

5

Hi I encountered an issue that I lost the spike train for the merged units when I extract the waveform from the sliced sorting from a concatenated sorting I used...

yuhang21

Hi, I am still quite new to Spikeinterface and was thinking about a way to compare automatic and manual sorted clusters for tetrode recordings. Since manual clustering is based on...

skylarwf

Simplification of signatures wrt noise_levels

3

After discussing with @alejoe91, we realized that it would be good to remove noise_levels from the function signatures, since now noise_levels can be saved as attributes of the recording. By...

yger

Allowing node_pipeline to deal with return_scaled

2

As mentionned in #2387 this PR fixes the problem of return_scaled within the node pipeline. Now, everything will be handled with the scaling, and while it might be slightly slower...

yger

extension `spike_amplitudes` is really slow with few spikes

2

`analyzer.compute("spike_amplitudes")` is really slow (90s in my case) even when the sorting contains a single unit with two spikes. Chunks of recording with no spikes should be skipped.

DradeAW

Extracting traces in parallel to speed up get_noise_levels (or any other traces related functions)

5

We can extent the pipeline machinery as explained in #2380 in order to get data chunks in parallel. The list of chunks passed to the ChunkRecordingExecutor can be customized accordingly,...

yger