NathanKlineInstitute / OEvent

Neural oscillation event detection and analysis

OEvent

Neural oscillation event detection and feature analysis.

Requirements

Python 3 with scipy/numpy/pandas

Nonhuman primate data

We have provided a recording (s2samp.npy) from the Lakatos lab at Nathan Kline Institute here: https://drive.google.com/file/d/1hhdKog80aEWFfgWEq-mlxTLPRhjBgQtD/edit
The data consists of 20 seconds of current-source density (CSD) signal, from a primary auditory cortex supragranular sink channel. The sampling rate is 11 kHz. The data is stored in the numpy format.

Example use in examp.py

First, make sure you've downloaded the sample data file (s2samp.npy; see above) to the same directory as examp.py .

Then, run the example from the terminal with:
python -i examp.py

This will load oevent and use it to calculate wavelet spectrograms, then extract the oscillation events. Finally, an "event viewer" will be created which will display a beta oscillation event (wavelet spectrogram in top panel and CSD signal in the bottom panel (red is the raw signal during event, and blue is the filtered signal)).

Contact:

For questions/comments email [e-mail]

References:

Taxonomy of neural oscillation events in primate auditory cortex SA Neymotin, I Tal, A Barczak, MN O'Connell, T McGinnis, N Markowitz, E Espinal, E Griffith, H Anwar, S Dura-Bernal, CE Schroeder, WW Lytton, SR Jones, S Bickel, P Lakatos https://doi.org/10.1101/2020.04.16.045021
The manuscript is currently under review at eNeuro.