- to learn python and neuroseries quickly.
- This package is intended for the Peyrache Lab internal usage.
- Scripts should be read and tested in your favorite python environment in the following order:
- main1_basics - Nice and gentle walktrough of python, numpy and matplotlib.
- main2_neuroseries - Introduction to neuroseries for handling spike times, time series and epochs.
- main3_tuningcurves - How to make an angular tuning curve?
- main4_raw_data - How to load data coming from the preprocessing pipeline (i.e. .res, .clu files)?
- main5_matlab_data - Too bad, Adrien asked you to analyse his old data saved in matlab...
- main6_autocorr - How to make an auto-correlogram ?
- main7_replay - How to do bayesian decoding?
- python 3
- numpy
- scipy
- pandas
- matplotlib
- numba
- pycircstats
- pytables
- nose
- neuroseries (It's best to use version located inside the StarterPack)
The example session KA28-190405 that should be saved in /StarterPack/data_raw/ can be found here