neuro
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holoviz-topics
HoloViz+Bokeh for Neuroscience
I'll probably abandon the cards on the index page because bugs in Panel
Couldn't push directly, but builds upon https://github.com/holoviz-topics/neuro/pull/96
## Problem: On their own, our current methods like Datashader and downsampling are insufficient for data that cannot be fully loaded into memory. ## Description/Solution/Goals: This project aims to enable...
## Summary and Links - [`annotation`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*annotation*%22) (lead: `@hoxbro`) - Use holonote for roi/annotation management - Potential extension: UI integration into the Bokeh toolbar. ## Relevant Workflows - ephys viewer -...
## Summary and Links [`scale-bar`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*scale-bar*%22) (lead: @mattpap for Bokeh, @Hoxbro for HoloViews) Resulting Issues and PRs: - https://github.com/holoviz/holoviews/pull/6002 - https://github.com/bokeh/bokeh/pull/13319 - https://github.com/bokeh/bokeh/pull/13625 ## Relevant Workflows - Waveform - Stacked-timeseries -...
- [ ] works with subcoordinate_y in target plot - [ ] works with dynamic map for target plot - [ ] works with a rasterized image in source plot...
## Summary and Links - [`channel-type-grouping`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*channel-type-grouping*%22) Support channel-type grouping with different sampling and amplitude range (normalization). - [`grouped-y-scaling`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*grouped-y-scaling*%22): Manual scaling/zooming of Y axis per channel group - includes hover-based scroll-zooming...
## Summary and Links - [`subcoordinates`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*subcoordinates*%22) (lead: ): Stacked traces on Y axis sub-coordinates - The intention is to avoid having to add an offset to the data values in...
### Summary and Links - [`benchmark`](https://github.com/orgs/holoviz-topics/projects/1/views/1?filterQuery=neuro-labels%3A%22*benchmark*%22): Benchmark speed of initial display and interaction ### Key Benchmarking Metrics: 1. Latency to initial display (of anything useful) 2. Latency for interaction updates...