Interactive Lab

Practice in short loops: checkpoint quiz, microtask decision, and competency progress tracking.

Checkpoint Quiz

Q1. Which output most clearly demonstrates module competency?

A measurable artifact linked to an explicit method A general reflection about interest in neuroscience A list of future goals without evidence

Competency is shown through measurable, method-linked evidence.

Q2. What should always accompany a technical claim in this curriculum?

A limitation or uncertainty statement A motivational quote A citation count

Every claim should include boundaries and uncertainty.

Q3. What is the best next step after identifying a gap in understanding?

Define a concrete practice task and verification criterion Skip to a harder module Ignore the gap if progress is slow

Progress improves when gaps become explicit practice targets.

Submit Quiz

Microtask Decision

Choose the action that best improves scientific reliability.

Record method, version, and decision rationale before sharing results Share results quickly and document details later Rely on memory for why decisions were made

Check Decision

Progress Tracker

State is saved locally in your browser for this module.

• Read capability target
• Complete studio activity
• Review assessment rubric
• Pass checkpoint quiz
• Complete microtask
• Complete annotation challenge

0% complete

Reset Progress

Annotation Challenge

Click the hotspot with the strongest evidence for the requested feature.

A B C

Selected hotspot: none

Check Annotation

Capability target

Build one connectome graph representation and justify two metric choices for a defined hypothesis.

Core workflow

1. Define node/edge schema.
2. Construct graph and inspect integrity.
3. Compute candidate metrics.
4. Interpret metrics against hypothesis.
5. Document abstraction limits.

60-minute tutorial run-of-show

1. 00:00-08: graph abstraction choices.
2. 08:00-20: graph build demo.
3. 20:00-34: metric computation.
4. 34:00-46: interpretation and null concerns.
5. 46:00-60: competency check.

Studio activity

Create a graph summary report with node/edge schema, metric table, and interpretation notes.

Assessment rubric

• Minimum: coherent graph model and metric rationale.
• Strong: clear link between metric and biological question.
• Failure: metric dumping without hypothesis alignment.

Teaching resources

• Technical Unit 09
• Technical Track Journal Club

Quick practice prompt

State one reason a graph metric might be misleading in your current dataset.