Source Ingest: 21-02388_X_techtalk_v2_final_review.pptx

High-level scope

This deck is primarily a NeuroAI/motif-search talk. It is strongest for:

• 09-connectome-analysis-neuroai

Secondary overlap:

• 01-why-map-the-brain (motivation: close gap between natural and artificial intelligence)
• 02-brain-data-across-scales (“What does brain data look like?”)
• atlas-connectomics-reference (references/tools links can seed the reference unit)

Low direct overlap (likely minimal reuse without rewrite):

• 03-em-prep-and-imaging
• 04-volume-reconstruction-infrastructure
• 05-neuronal-ultrastructure
• 06-axons-and-dendrites
• 07-glia
• 08-segmentation-and-proofreading

Extracted storyline (first-pass)

1. Audacious goal: derive AI function from biological form.
2. Current ML limitations and motivation for bio-derived approaches.
3. Brain/connectome data and reverse-engineering analogy.
4. NeuroAI pipeline and ring-attractor concept.
5. Motif search framing (subnetwork computational primitives).
6. Query tooling: DotMotif, GrandCypher, GrandIso, Motif Studio.
7. Performance and methodology tradeoffs in motif search.
8. Developmental motif analysis example (C. elegans).
9. References and external resources.

Slide anchors by theme (approximate)

• Motivation/problem framing: slides 2-10, 20-23
• Brain data + reverse engineering: slides 11-12
• NeuroAI pipeline and ring attractor: slides 13-14
• Motif methods and tools: slides 24-35, 42-45
• Hypothesis/literature/developmental analysis: slides 36-44
• References: slide 46

Candidate reuse into technical track

• For 09-connectome-analysis-neuroai:
  • Keep core narrative and tool chain (DotMotif/GrandIso/etc.)
  • Convert to course language with explicit learning objectives and prerequisites
  • Add links to existing modules: module10, module13, module14, module15, module20
• For 01-why-map-the-brain:
  • Reuse motivational framing only (slides 8-10, 20-22)
  • Strip tool-specific detail
• For atlas-connectomics-reference:
  • Harvest references, project/tool links, and citations from slides 42-46

Gaps for website+course use

• Needs explicit pedagogical segmentation (concept -> method -> practice -> assessment).
• Needs clear distinction between historical examples (talk date: 2021-07-12) and current state.
• Needs image-level mapping from your extraction manifest for figure attribution and placement.

Next ingest inputs needed

• Image manifest path (CSV/JSON/MD) for this deck.
• Any speaker notes export if available.
• Priority decision:
  • Option A: rewrite this source into 09-connectome-analysis-neuroai first
  • Option B: carve out only motivation pieces for 01-why-map-the-brain first