netpyne.analysis.lfp

Module for analyzing LFP-related results

Functions:

prepareLFP([sim, timeRange, electrodes, ...])

Function to prepare data for plotting of local field potentials (LFP)

prepareDataPerElectrode(signalPerElectrode, ...)

preparePSD([LFPData, CSD, sim, timeRange, ...])

Function to prepare data for plotting of power spectral density (PSD)

prepareSpectrogram([sim, timeRange, ...])

Function to prepare data for plotting of the spectrogram

netpyne.analysis.lfp.prepareLFP(sim=None, timeRange=None, electrodes=['avg', 'all'], pop=None, LFPData=None, normSignal=False, filtFreq=False, filtOrder=3, detrend=False, **kwargs)[source]

Function to prepare data for plotting of local field potentials (LFP)

netpyne.analysis.lfp.prepareDataPerElectrode(signalPerElectrode, electrodes, timeRange, sim)[source]
netpyne.analysis.lfp.preparePSD(LFPData=None, CSD=False, sim=None, timeRange=None, electrodes=['avg', 'all'], pop=None, NFFT=256, noverlap=128, minFreq=1, maxFreq=100, stepFreq=1, smooth=0, logy=False, normSignal=False, normPSD=False, filtFreq=False, filtOrder=3, detrend=False, transformMethod='morlet', **kwargs)[source]

Function to prepare data for plotting of power spectral density (PSD)

netpyne.analysis.lfp.prepareSpectrogram(sim=None, timeRange=None, electrodes=['avg', 'all'], pop=None, LFPData=None, NFFT=256, noverlap=128, nperseg=256, minFreq=1, maxFreq=100, stepFreq=1, smooth=0, includeAxon=True, logy=False, normSignal=False, normPSD=False, normSpec=False, filtFreq=False, filtOrder=3, detrend=False, transformMethod='morlet', **kwargs)[source]

Function to prepare data for plotting of the spectrogram