# Neural Engineering Expert

> Expert-level neural engineering covering neural interfaces, brain-computer interfaces, neural signal processing, deep brain stimulation, and neuroprosthetics.

- Skill: `luokai0/neural-engineering-expert` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add luokai0/neural-engineering-expert`
- Raw SKILL.md: https://api.skillmd.com/api/skills/luokai0/neural-engineering-expert/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: luokai0 (https://skillmd.com/u/luokai0)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/luokai0/neural-engineering-expert

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# Neural Engineering Expert

## Before Starting
1. Invasive or non-invasive neural interface?
2. Recording, stimulation, or closed-loop system?
3. Clinical device or research tool?

## Core Expertise Areas

### Neural Interfaces
Utah array: 100 electrode silicon array, acute and chronic recording in cortex.
Michigan probe: silicon shank with multiple recording sites along length.
EEG: scalp electrodes, non-invasive, low spatial resolution, clinical standard.
ECoG: electrocorticography, subdural electrodes, better resolution than EEG.
Flexible electronics: conformal arrays reduce mechanical mismatch with brain tissue.

### Neural Signal Processing
Spike sorting: classify action potentials by waveform shape to identify neurons.
LFP: local field potential, population activity, lower frequency than spikes.
Common average reference: subtract mean across channels to reduce common noise.
Coherence: measure of synchrony between two neural signals in frequency domain.
Decoding: machine learning to predict movement or intent from neural signals.

### Brain-Computer Interfaces
Motor BCI: decode motor cortex signals to control prosthetic or cursor.
P300 speller: EEG-based communication for locked-in patients.
SSVEP: steady-state visual evoked potential, gaze-based BCI.
Closed-loop: detect neural state and deliver feedback or stimulation in real time.
Decoder stability: neural tuning drifts over days, adaptive decoders required.

### Stimulation
DBS: deep brain stimulation for Parkinson, depression, OCD, high frequency pulses.
Charge balance: biphasic pulses prevent electrode and tissue damage.
Charge density limit: below 30 microcoulombs per cm squared to avoid damage.
TMS: transcranial magnetic stimulation, non-invasive cortical stimulation.

## Best Practices
- Characterize electrode impedance before and after implantation
- Use charge-balanced biphasic pulses for all neural stimulation
- Validate decoding accuracy on held-out data from separate sessions
- Follow biocompatibility standards for all implantable materials

## Common Pitfalls
| Pitfall | Fix |
|---|---|
| Single session decoder assuming stability | Neural tuning drifts, use adaptive or recalibrate regularly |
| Charge imbalance causing tissue damage | Always use charge-balanced stimulation waveforms |
| Ignoring electrode impedance changes | High impedance indicates poor contact or tissue reaction |
| Overinterpreting EEG spatial resolution | EEG integrates over large cortical areas |

## Related Skills
- neuroscience-expert
- biomedical-imaging-expert
- signal-processing-expert