Tutorials¶
Here you can find the tutorials for uses of nept, with some general neural data analysis focus. We import the data and look into its core objects and their features. Then we provide some examples such as generating tuning curves, computing power spectral densities, and handling purely behavioral data from a MedPC operant box.
Interactive¶
These tutorials can be interactive in a jupyter notebook with nept and its dependencies installed. The only additional thing you need to do is download the tutorial data sets into the tutorials/data/ folder.
Contributing and expanding the tutorial scope¶
We’re always looking to improve the quality and usability of nept. If you wish to expand the scope of the tutorial suite, feel free to submit pull requests adhering to the style guide.
nept tutorials¶
- Tutorial 01 - Principles of careful (neural) data analysis
- Tutorial 02 - Setting up
- Tutorial 03 - Introduction to neural data types
- Tutorial 04 - Handling spiking data
- Tutorial 05 - Tuning curves and decoding
- Tutorial 06 - Pairwise co-occurrence
- Tutorial 07 - Signal interactions
- Tutorial 08 - MedPC behavior