viziphant.spike_train_synchrony.plot_spike_contrast

viziphant.spike_train_synchrony.plot_spike_contrast(trace, spiketrains=None, title=None, lw=1.0, xscale='log', **kwargs)[source]

Plot Spike-contrast synchrony measure (Ciba et al., 2018).

Parameters:
traceSpikeContrastTrace

The trace output from elephant.spike_train_synchrony.spike_contrast() function.

spiketrainslist of neo.SpikeTrain or None

Input spike trains, optional. If provided, the raster plot will be shown at the bottom. Default: None

titlestr or None.

The plot title. If None, an automatic description will be set. Default: None

lwfloat, optional

The curves line width. Default: 1.0

xscalestr, optional

X axis scale. Default: ‘log’

**kwargs

Additional arguments, passed in viziphant.rasterplot.rasterplot()

Returns:
axesmatplotlib.Axes.axes

Examples

Spike-contrast synchrony of homogenous Poisson processes.

import numpy as np
import quantities as pq
from elephant.spike_train_generation import homogeneous_poisson_process
from elephant.spike_train_synchrony import spike_contrast
import viziphant
np.random.seed(24)
spiketrains = [homogeneous_poisson_process(rate=20 * pq.Hz,
               t_stop=10 * pq.s) for _ in range(10)]
synchrony, trace = spike_contrast(spiketrains, return_trace=True)
viziphant.spike_train_synchrony.plot_spike_contrast(trace,
     spiketrains=spiketrains, c='gray', s=1)
plt.show()

(Source code, png, hires.png, pdf)

../../_images/viziphant-spike_train_synchrony-plot_spike_contrast-1.png