ks3-to-otherformat

converting kilosort3 + phy2 sorted neural data into other readable formats

install

git clone https://github.com/runninghsus/ks3-to-otherformat.git

create env with dependencies

macOS

cd ks3-to-other
conda env create -f env.yaml
conda activate ks3-to-other

win10/11

run app

streamlit run main.py

Once you saved the csv files, you can run post-hoc plots using jupyter-lab

in another prompt

jupyter-lab notebooks/

rasters to examine different time points in recording

neural activity distribution over the course of recording