Alessio Buccino @buccino_alessio@qoto.org

Do you want to apply compression right away? All compression options can be readily deployed with a few lines using
@spikeinterface
, so you can easily try them out of your own data! This will also make it easy to benchmark new compression methods as they become available.

(10/n)

Waveform shapes are also important for downstream analysis, e.g., cell-type classification. On simulated data, we found that WavPack Hybrid nicely preserves three commonly used waveform features.

(8/n)

We repeated spike sorting on experimental data, this time counting the number of units passing or failing quality control (QC). Again, we observed minimal changes in the results when using WavPack Hybrid.

(7/n)

Using simulated data with known ground truth spike times, we used #Kilosort 2.5 to evaluate spike sorting performance. WavPack Hybrid does not affect spike sorting accuracy, even at maximum compression levels (~14% file size).

(6/n)

We then investigated two #LossyCompression strategies: bit truncation and WavPack Hybrid mode. Lossy compression can dramatically boost compression performance, but we must first assess how it affects downstream analysis (i.e., spike sorting).

(5/n)

Do you use #neuropixels or #highdensity probes? Are your recordings filling up your hard drives?
We got you covered!

In the first preprint from
@AllenInstitute
for Neural Dynamics, we looked at ways to reduce the footprint of #ephys data.

https://www.biorxiv.org/content/10.1101/2023.05.22.541700v2

(1/n)