ecogVIS

Timeseries visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.

A collaboration with with Chang Lab.

Installation

To clone the repository and set up a conda environment, do:

$ git clone https://github.com/ben-dichter-consulting/ecogVIS
$ conda env create -f ecogVIS/make_env.yml
$ source activate ecog_vis

Alternatively, to install ecogVIS directly in an existing environment:

$ pip install git+https://github.com/ben-dichter-consulting/ecogVIS

After activating the correct environment, ecogVIS can be imported and run from python. If the file does not exist (or if you provide an empty string ''), you'll be prompted to choose a file from a dialog.

from ecogvis.ecogvis import main
import os

fpath = os.path.join('path_to','file.nwb')
main(fpath)

Features

ecogVIS makes it intuitive and simple to viualize and process ECoG signals. It currently features:

Plus

• Select electrodes from specific brain areas
• Easy moving between block files for the same subject