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Tutorial on signal processing of ephys data #122

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ChucklesOnGitHub opened this issue Oct 28, 2024 · 3 comments · Fixed by #143
Closed
1 task done

Tutorial on signal processing of ephys data #122

ChucklesOnGitHub opened this issue Oct 28, 2024 · 3 comments · Fixed by #143
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user-friendliness Missing tutorials and user guide
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@ChucklesOnGitHub
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ChucklesOnGitHub commented Oct 28, 2024

selecting channels
ADC Rescaling
spike visualizers (vs ephys socket, reference #121 )
spike detection

@ChucklesOnGitHub ChucklesOnGitHub added the user-friendliness Missing tutorials and user guide label Oct 28, 2024
@ChucklesOnGitHub ChucklesOnGitHub added this to the One milestone Oct 28, 2024
@cjsha cjsha assigned ChucklesOnGitHub and cjsha and unassigned cjsha Oct 28, 2024
@ChucklesOnGitHub
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proto workflow, need to fix the scaling
spikes.zip

@jonnew
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jonnew commented Nov 4, 2024

This is important for real-time feedback. However, Bonsai's integrated spike detection functionality and visualizers are quite primitive and this is especially true when looking at data from very dense arrays like Neuropixels where spiking activity is best visualize using dense raster plots and thins like the OE GUI probe viewer.

So this fact should probably be mentioned in this tutorial: spike detection and closed-loop latency will be fastest when performed in bonsai. The best visualization option without real-time feedback is the socket + OE GUI.

@ChucklesOnGitHub
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Visualization with better tools is covered in the ephys socket tutorial.
As a first pass, this working with spikes tutorial is about what signal processing tools there are in Bonsai and to express the point about short closed-loop latencies, but ideally would include modules on real time spike sorting/ripple detection when such methods are available.

@ChucklesOnGitHub ChucklesOnGitHub changed the title Tutorial on working with spikes Tutorial on signal processing of ephys data Nov 12, 2024
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