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2026-dhmc-ieeg: NWB/NeuroConv + Neurosift event-related slides - #27
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Replace the skeleton NWB section with: - NWB: one file format for all modalities + metadata (conversion gallery) - Converting data to NWB: GUIDE / NeuroConv / PyNWB+MatNWB scale - NeuroConv format listing - Neurosift intro, now mentioning the event-related signals view - Three Neurosift examples (screenshots, titles link to the live views): motion energy grouped by gabor_stimulus_contrast (DANDI:000409), LFP aligned to reward_start_time (DANDI:001539), 40 Hz pulse-train presentations, probe D LFP (DANDI:001637) Slide images rendered from Cody's PDFs at 200 dpi; screenshots kept as the original WebP. All images added via git-annex (MD5E). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TXdd7X7FRyDaxWk9ngYT6j
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🚀 Preview of 09fa08d: It will be live once the GitHub Pages deployment finishes. |
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@yarikoptic working great despite your skepticism: https://con.github.io/talks/pr-preview/pr-27/2026-dhmc-ieeg.html#/4/6 I will continue work on these slides later; should I do it on this branch or directly onto the target? |
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I pushed overall re-structuring around those incrementals of the ecosystem slide(s)... even found how to make those hyperlinks in .svg's clickable! |
Conflicts in 2026-dhmc-ieeg.html resolved by keeping Yarik's new detour structure and slotting Cody's content into it: - NWB detour: nwb.svg reveal, then the NWB one-file-format slide (replacing the skeleton), conversion scale and NeuroConv formats - Neurosift detour: nwb-apps.svg reveal, then the Neurosift intro and the three event-related examples (GIF TODO dropped; screenshots cover it) - dandi-compute reveal now followed by the four DANDI Compute slides (replacing the TODO slide); duplicate Compute/DANDI Compute slides removed from the Leftover section Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TXdd7X7FRyDaxWk9ngYT6j
Replace the skeleton NWB section with: - NWB: one file format for all modalities + metadata (conversion gallery) - Converting data to NWB: GUIDE / NeuroConv / PyNWB+MatNWB scale - NeuroConv format listing - Neurosift intro, now mentioning the event-related signals view - Three Neurosift examples (screenshots, titles link to the live views): motion energy grouped by gabor_stimulus_contrast (DANDI:000409), LFP aligned to reward_start_time (DANDI:001539), 40 Hz pulse-train presentations, probe D LFP (DANDI:001637) Slide images rendered from Cody's PDFs at 200 dpi; screenshots kept as the original WebP. All images added via git-annex (MD5E). Claude-Session: https://claude.ai/code/session_01TXdd7X7FRyDaxWk9ngYT6j Co-authored-by: Claude <noreply@anthropic.com>
Fills in the NWB section of
2026-dhmc-ieeg.html(#26) and adds a DANDI Compute slide. This PR targets theenh-2026-dhmc-ieegbranch, so merging it adds these slides to PR 26.Slides
NWB section (vertical stack):
gabor_stimulus_contrast, aligned toauditory_cue_time(DANDI:000409)reward_start_time, channels 0, 2, 4 (DANDI:001539)Compute section: the section is now a vertical stack. Under "Compute: pointers only" come four DANDI Compute slides that all use
pics/dandi-compute-figure.svg. The first shows the whole poster fitted to the slide. The other three zoom in with CSS crops of the same SVG: orchestration, the spike-sorting pipeline, and the derivative Dandiset layout. The pointers slide's dandi-compute TODO bullet now points to these slides.Each example slide's title links to the live Neurosift view, and its caption links to the dandiset. Every new slide has speaker notes.
For @yarikoptic: annex + upload (copy/paste)
I do not have permissions to falkor / datasets.datalad.org, so you need to do it for me
Suggested copy/paste. It squashes the whole PR, including any merges of the base, into one commit on top of
enh-2026-dhmc-ieeg, with the 7 images annexed. It then uploads them and force-pushes with lease, so the plain copies drop out of the history:🤖 Generated with Claude Code
https://claude.ai/code/session_01TXdd7X7FRyDaxWk9ngYT6j