LFP codec — lossy compression of local-field-potential recordings via adaptive SVD and wavelet-packet thresholding
Project description
lfpack — LFP codec for Neuropixels recordings
Lossy codec for local-field-potential (LFP) recordings from Neuropixels probes. Achieves >100× compression with median RMSE < 25 µV via an 8-stage pipeline (bad-channel detection → dephasing → highpass → interpolation → CAR → decimation → Cadzow → adaptive SVD + wavelet-packet thresholding).
pip install lfpack
Documentation
Full documentation is at https://int-brain-lab.github.io/lfpack/.
| Section | Contents |
|---|---|
| Tutorial | End-to-end compression and decompression of a recording |
| How-To: binned reads | Memory-efficient channel-binned access |
| How-To: multi-recording files | Combining multiple recordings in one HDF5 file |
| API reference | Full public API (compress_bin_to_h5, LFPackReader, …) |
| HDF5 format | On-disk layout specification |
| Pipeline explanation | Stage-by-stage description of the compression pipeline |
| SVD+WP benchmark | RMSE, SNR, and compression-ratio results across 11 insertions |
Release history Release notifications | RSS feed
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