Deck Spec: 01 Why Map the Brain
Session
- Duration: 70 + 15 min
- Outcome: one testable connectomics hypothesis brief
- Primary sources:
course/source-ingest/module12-lesson1.pptx.md
course/source-ingest/21-02388_X_techtalk_v2_final_review.md (motivation sections only)
- Figure source:
course/units/figures/01-why-map-the-brain-selected-v1.md
Slide production blocks
- Title and course positioning
- Key message: this track is the technical pathway from biological question to measurable structure.
- Figure:
FIG-SRC-MODULE12_LESSON1-S02-01
- The motivating question
- Key message: why map connectivity if function is dynamic and context-dependent?
- Figure:
FIG-SRC-21_02388_X_TECHTALK_-S10-01
- Why structure still matters
- Key message: structure constrains feasible computations and circuit hypotheses.
- Figure:
FIG-SRC-21_02388_X_TECHTALK_-S11-01
- Reverse-engineering analogy and limits
- Key message: decomposition helps but does not directly establish causal function.
- Figure:
FIG-SRC-21_02388_X_TECHTALK_-S12-01
- What this course will and will not claim
- Key message: distinguish descriptive mapping from mechanistic inference.
- Figure:
FIG-SRC-MODULE12_LESSON1-S04-01
- Hypothesis translation workflow
- Key message: biological question -> measurable structural endpoint -> null model.
- Figure:
FIG-SRC-MODULE12_LESSON1-S07-01
- Measurement targets
- Key message: motifs, synapse densities, targeting ratios, and path constraints.
- Figure: no new figure required (schema slide).
- Evidence thresholds
- Key message: claims require explicit reconstruction quality and uncertainty bounds.
- Common overclaims
- Key message: avoid claiming dynamic function directly from static structure alone.
- Mini-case example
- Key message: write one valid claim and one excluded claim from same dataset.
- Activity instructions
- Key message: draft a one-page study brief with metric and null model.
- Debrief and bridge to Unit 02
- Key message: scale selection is the next gating technical decision.
Assessment
- Prompt: submit 1-page hypothesis brief with one null model and one explicit limit.
- Rubric: testability, metric fit, uncertainty discipline.