netpyne.analysis.spikes module

Module for analysis of spiking-related results

netpyne.analysis.spikes.prepareSpikeData(include=['allCells'], sim=None, timeRange=None, maxSpikes=100000000.0, orderBy='gid', popRates=True, syncLines=True, saveData=False, fileName=None, fileDesc=None, fileType=None, fileDir=None, colorbyPhase=None, **kwargs)

Function to prepare data for creating spike-related plots

netpyne.analysis.spikes.prepareRaster(include=['allCells'], sim=None, timeRange=None, maxSpikes=100000000.0, orderBy='gid', popRates=True, colorbyPhase=None, saveData=False, fileName=None, fileDesc=None, fileType=None, fileDir=None, **kwargs)

Function to prepare data for creating a raster plot

netpyne.analysis.spikes.prepareSpikeHist(include=['allCells', 'eachPop'], sim=None, timeRange=None, maxSpikes=100000000.0, popRates=True, saveData=False, fileName=None, fileDesc=None, fileType=None, fileDir=None, binSize=5, **kwargs)

Function to prepare data for creating a spike histogram plot

netpyne.analysis.spikes.popAvgRates(tranges=None, show=True)

Function to calculate and return average firing rates by population

Parameters:

• tranges (list or tuple) – The time range or time ranges to calculate firing rates within Default: None uses the entire simulation time range. Options: a single time range is defined in a list ([startTime, stopTime]) while multiple time ranges should be a tuple of lists (([start1, stop1], [start2, stop2])).

• show (bool) – Whether or not to print the population firing rates Default: True