brainpy.measure module

cross_correlation(spikes, bin[, dt, numpy, ...])	Calculate cross correlation index between neurons.
voltage_fluctuation(potentials[, numpy, method])	Calculate neuronal synchronization via voltage variance.
matrix_correlation(x, y[, numpy])	Pearson correlation of the lower triagonal of two matrices.
weighted_correlation(x, y, w[, numpy])	Weighted Pearson correlation of two data series.
functional_connectivity(activities[, numpy])	Functional connectivity matrix of timeseries activities.
raster_plot(sp_matrix, times)	Get spike raster plot which displays the spiking activity of a group of neurons over time.
firing_rate(spikes, width[, dt, numpy])	Calculate the mean firing rate over in a neuron group.
unitary_LFP(times, spikes[, spike_type, ...])	A kernel-based method to calculate unitary local field potentials (uLFP) from a network of spiking neurons [1]_.