A question regarding SPCA (Sparse Principal Component Analysis) in the ipfx package #6
Description
Hello, I’m currently studying the electrophysiological data processing steps mentioned in the paper Consistent cross-modal identification of cortical neurons with coupled autoencoders, and I have a few questions:
Are the NWB data files from the DANDI Archive, as used in the article, already preprocessed (e.g., quality control, standardization)? The article mentions the use of 3,411 cells, but the DANDI Archive shows 4,435 files. Does this mean some data has been filtered out? Can I directly use these files for SPCA analysis and electrophysiological feature extraction with the ipfx package?
What is the principle behind the SPCA analysis in the ipfx package? Is it performing Sparse Principal Component Analysis (sPCA) on the raw voltage and current time-series data?
Thank you for your help!