Scalogram for CBGTC spike times

class analyseur.cbgtc.visual.scalo.Scalogram(spiketimes_superset)[source]

Bases: object

accurate_coi_scalogram(frequencies, coefficients, scales, wavelet_name='cmor1.5-1.0')[source]

More accurate COI calculation based on wavelet properties

static matlab_jet_cmap()[source]
classmethod plot_avg(spiketimes_set, sampling_rate=None, window=None, sigma=None, scales=None, wavelet=None, neurons=None, nucleus=None, show=True, save=False)[source]

classmethod plot_avg_coi(spiketimes_set, sampling_rate=None, window=None, sigma=None, scales=None, wavelet=None, neurons=None, nucleus=None, show=True, save=False)[source]

plot_avg_coi1(scales=None, wavelet=None, show=True, save=False, nucleus=None, sampling_rate=None, window=None, neurons=None, sigma=None)[source]
plot_avg_coi2(scales=None, wavelet=None, show=True, save=False, nucleus=None, sampling_rate=None, window=None, neurons=None, sigma=None)[source]
plot_single(scales=None, wavelet=None, sampling_rate=None, window=None, sigma=None, neuron_indx=None, show=True, save=False, nucleus=None)[source]
classmethod plot_sum(spiketimes_set, sampling_rate=None, window=None, sigma=None, scales=None, wavelet=None, neurons=None, nucleus=None, show=True, save=False)[source]