This repository hosts an interactive website that allows users to explore the data from our recent publication Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings by Zhiwen Ye, Andrew M. Shelton, Jordan R. Shaker, Julien Boussard, Jennifer Colonell, Sahar Manavi, Susu Chen, Charlie Windolf, Cole Hurwitz, Tomoyuki Namima, Federico Pedraja, Shahaf Weiss, Bogdan Raducanu, Torbjørn V. Ness, Gaute T. Einevoll, Gilles Laurent, Nathaniel B. Sawtell, Wyeth Bair, Anitha Pasupathy, Carolina Mora Lopez, Barun Dutta, Liam Paninski, Joshua H. Siegle, Christof Koch, Shawn R. Olsen, Timothy D. Harris, Nicholas A. Steinmetz bioRxiv 2023.08.23.554527; doi: https://doi.org/10.1101/2023.08.23.554527
To report issues about the website functionality, please post an issue on this repository or send your concerns to [email protected]
To update the current data, replace the metadata_stripped.csv file with the new data, making sure that the indexes are matched.
Then copy the new data into the data folder and run convert2csv.ipynb. This code combines the location data taken from clusters.CCF_APDVLR.npy with the metadat.csv into a single output file used in Unity. Copy the file into the Assets/data/ folder in Unity and run the Tools > Process CSV function. Then re-build for WebGL and push the code. Done!