mfvd / ripple_detection

Tools for identifying sharp wave ripple events using LFPs

ripple_detection

ripple_detection is a python package for finding sharp-wave ripple events (150-250 Hz) from local field potentials.

The package implements ripple detection methods from Karlsson et al. 2009 (Karlsson_ripple_detector) and Kay et al. 2016 (Kay_ripple_detector).

Installation

pip install ripple_detection

OR

conda install -c edeno ripple_detection

Package Dependences

• numpy
• scipy
• pandas

Example Usage

from ripple_detection import Kay_ripple_detector

ripple_times = Kay_ripple_detector(
  time, LFPs, speed, sampling_frequency)

References

1. Karlsson, M.P., and Frank, L.M. (2009). Awake replay of remote experiences in the hippocampus. Nature Neuroscience 12, 913-918.

2. Kay, K., Sosa, M., Chung, J.E., Karlsson, M.P., Larkin, M.C., and Frank, L.M. (2016). A hippocampal network for spatial coding during immobility and sleep. Nature 531, 185-190.