Inagaki et al., 2018, 2019
Data pipeline for Inagaki et al., 2018, 2019 from Svoboda Lab.
This project presents a DataJoint pipeline design for the data accompanying the papers:
Hidehiko K. Inagaki, Lorenzo Fontolan, Sandro Romani & Karel Svoboda. "Discrete Attractor Dynamics Underlies Persistent Activity in the Frontal Cortex" (2019) Nature (https://doi.org/10.1038/s41586-019-0919-7)
Hidehiko K. Inagaki, Miho Inagaki, Sandro Romani and Karel Svoboda. "Low-Dimensional and Monotonic Preparatory Activity in Mouse Anterior Lateral Motor Cortex" (2018) Jneurosci (https://doi.org/10.1523/JNEUROSCI.3152-17.2018)
The data in original MATLAB format (.mat) have been ingested into a DataJoint data pipeline.
The data: (Not available)
Design DataJoint data pipeline
This repository contains the Python 3.7 code of the DataJoint data pipeline design for this dataset, as well as scripts for data ingestions and visualization.
Conversion to NWB 2.0
This repository contains the Python 3.7 code to convert the DataJoint pipeline into NWB 2.0 format (See https://neurodatawithoutborders.github.io/) Each NWB file represents one recording session. The conversion script can be found here
Demonstration of the data pipeline
Data queries and usages are demonstrated in this Jupyter Notebook, where several figures from the paper are reproduced.