Now in spikeinterface plot_sorting_summary() use spikeinterface_gui or sortingview backend.
The first one is Qt based and work only locally. The second one push data on the cloud and then run a javascript app in the browser for visualisation.
It would be convivient to have a ligth summary viewer ipywidget directly in jupyter notebook for exploring final result with main subviews : amplitude + correlogram + units location + waveforms + ...
We already have have all this viewer but not gather in the same view.
the idea is to have a unit selector the display a quick summary for evry unit.
Project title:
Key Investigators
Project Description
Background
Now in spikeinterface plot_sorting_summary() use spikeinterface_gui or sortingview backend. The first one is Qt based and work only locally. The second one push data on the cloud and then run a javascript app in the browser for visualisation. It would be convivient to have a ligth summary viewer ipywidget directly in jupyter notebook for exploring final result with main subviews : amplitude + correlogram + units location + waveforms + ... We already have have all this viewer but not gather in the same view. the idea is to have a unit selector the display a quick summary for evry unit.
Objectives
Approach and Plan
Progress
Next Steps (optional)
References