Course

Neuro Interface Field Lab

Deploy EEG, tDCS, and open-source BCIs with medical governance baked in.

Level

Advanced

Duration

55 hrs

License

CC-BY

Provider

PowerProgress Neuro Guild

AI tutor ready

Connect plan → quiz → feedback

Launch the learner mission control to pair this syllabus with lesson-aware copilots and checkpoint quizzes.

Manifest compliance

Mirror-ready resources

Modules inherit license notes from our legal archive. Tag your builds with #neuro-interface so takedowns + payouts trace back instantly.

Need removal or attribution edits? See docs/legal-archive-workflow.

Kardashev track

Knowledge contributions unlocked

Complete this course to accelerate the mirror-ready curricula + tutors pillar.

Readiness status

100%

170/12 manifest entries logged

Mirror two more syllabi via npm run manifest:ingest and log licenses

View playbook →

Kardashev intelligence

Civic missions bottleneck

3 weekly posts - 50 live missions. Close the 48pt gap by running the recommended playbook.

critical

Readiness

52%

Gap to 100%

-48 pts

  • Target

    120 weekly updates / 30 missions

Synced 10:23:10 PMExecute playbook

Live impact

0

Units pledged · 0 commitments

Add your build thread in /community with #neuro-interface to unlock mentor + affiliate boosts.

Mapped missions

mission-neuro-interface-bci

Tag your build logs with these mission IDs for auto credit.

Telemetry tags

biosignalshardware

Use these hashtags in /community so mentors trace your runbooks.

Module

Signal Calibration

Capture clinical-grade EEG on open hardware with artifact mitigation.

1 lessons · 2 takeaways

Mission outcomes

  • Map electrode placements to hardware layouts without noise spikes.
  • Comply with consent + data retention rules day one.

Module

Stimulation Safety

Design tDCS protocols that pass IRB review and steward health data.

1 lessons · 2 takeaways

Mission outcomes

  • Compute current density envelopes for each montage.
  • Run ledger-backed safety reviews per session.

Module

BCI Prototype

Stream EEG into classifiers + haptic feedback loops with sub-200ms latency.

1 lessons · 2 takeaways

Mission outcomes

  • Extract usable features on embedded hardware.
  • Close human-in-loop feedback while logging incidents.