此技能提供對 Neuropixels 高密度神經記錄的全面分析。它處理從原始數據加載到使用 SpikeInterface 和 Kilosort4 算法生成可直接發表的精選單元的完整工作流程。
下載技能 ZIP
在 Claude 中上傳
前往 設定 → 功能 → 技能 → 上傳技能
開啟並開始使用
測試它
正在使用「neuropixels-analysis」。 Load my Neuropixels recording and run the complete analysis pipeline
預期結果:
- Recording: 384 channels, 600.2 seconds
- Preprocessing complete - 2 bad channels removed
- Drift estimate: 15.3 um
- Kilosort4 found 45 units
- Quality metrics computed
- Allen curation: 28 good units, 12 MUA, 5 noise
正在使用「neuropixels-analysis」。 Check for drift and motion in my recording
預期結果:
- Motion estimate: 12.8 um peak-to-peak
- No severe drift detected
- Nonrigid motion correction applied
- Corrected recording saved to motion/corrected/
安全審計
安全All 703 static findings are false positives. The scanner incorrectly flags markdown code block backticks as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. This is a legitimate neuroscience analysis toolkit using SpikeInterface and Kilosort4 for scientific research.
風險因素
品質評分
你能建構什麼
自動化尖峰排序流程
處理 Neuropixels 記錄，從原始數據到排序的尖峰，並計算品質指標以供發表使用。
批次處理工作流程
對多個記錄會話應用標準化的預處理和精選，以確保一致性。
與 Phy 整合
將排序後的數據導出至 Phy，以便手動審查和微調尖峰排序結果。
試試這些提示
Load a SpikeGLX recording from /path/to/data and apply standard preprocessing including highpass filtering at 400 Hz, phase shift correction, and common median reference.
Run Kilosort4 spike sorting on the preprocessed recording and compute quality metrics including SNR, ISI violations ratio, and presence ratio.
Check for drift in my Neuropixels recording and apply motion correction if the estimated drift exceeds 20 microns.
Generate a summary plot for unit 15 showing waveforms and autocorrelogram, then analyze whether it appears to be a well-isolated single unit based on the visualization.
最佳實務
- Always check drift before spike sorting - drift above 20 um significantly impacts quality
- Use GPU for Kilosort4 for 10-50x faster processing compared to CPU alternatives
- Save preprocessed data to avoid recomputing filtering steps on subsequent runs
- Review uncertain units in Phy - automated curation provides starting points for manual refinement
避免
- Skipping drift estimation before spike sorting can lead to poor unit isolation
- Applying phase shift correction to Neuropixels 2.0 data (only needed for 1.0 probes)
- Using default curation thresholds without considering your experimental requirements
- Processing full recordings without testing on a subset first to verify pipeline