emg_from_lfp

This package is no longer maintained here, and has been moved to ecephys.emg_from_lfp

Derive EMG from LFP through correlation of highfrequency activity.

This code is basically a Python translation and readaptation of the bz_EMGFromLFP.m function from Buzsaki's lab. (https://github.com/buzsakilab/buzcode/blob/master/detectors/bz_EMGFromLFP.m). Based on Erik Schomburg's and code and work, published in `Theta Phase Segregation of Input-Specific Gamma Patterns in Entorhinal-Hippocampal Networks, Schomburg et al., Neuron 2014.``

Tom Bugnon, 01/2020

Installation

• Clone, fork, or download this package emg_from_lfp (https://github.com/CSC-UW/emg_from_lfp)

# From the `emg_from_lfp` directory you just downloaded
pip install -e .

Command-line usage:

1. Copy the default configuration file (EMG_config_df)

2. Manually set the parameters for the copied config file.

• From the command line (make sure you're in your virtualenvironment)

python -m emg_from_lfp <path_to_config_file>

• From python:

import emg_from_lfp

emg_from_lfp.run({config_dict}) # See function docstring

3. Load the computed data with

import emg_from_lfp

# Load
emg_from_lfp.load_emg(
  <path_to_EMGdata>, tStart=None, tEnd=None, desired_length=None
)