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Power-Spectra Interactive

Class diagram for tvb.simulator.power_spectra_interactive

An interactive power spectra plot generated from a TVB TimeSeries datatype.

Usage

#Load the demo data
import numpy
data = numpy.load("demos/demo_data_region_16s_2048Hz.npy")
period = 0.00048828125 #NOTE: Providing period in seconds

#Create a tvb TimeSeries object
import tvb.datatypes.time_series
tsr = tvb.datatypes.time_series.TimeSeriesRegion()
tsr.data = data
tsr.sample_period = period

#Create and launch the interactive visualiser
import tvb.simulator.power_spectra_interactive as ps_int
psi = ps_int.PowerSpectraInteractive(time_series=tsr)
psi.show()
tvb.simulator.plot.power_spectra_interactive.PowerSpectraInteractive[source]

The graphical interface for visualising the power-spectra (FFT) of a timeseries provide controls for setting:

  • which state-variable and mode to display [sets]
  • log or linear scaling for the power or frequency axis [binary]
  • sementation lenth [set]
  • windowing function [set]
  • power normalisation [binary] (emphasise relative frequency contribution)
  • show std or sem [binary]

traits on this class:

first_n (Display the first ‘n’)
Primarily intended for displaying the first N components of a surface PCA timeseries. Defaults to -1, meaning it’ll display all of ‘space’ (ie, regions or vertices or channels). In other words, for Region or M/EEG timeseries you can ignore this, but, for a surface timeseries it really must be set.
default: -1
time_series (Timeseries)
The timeseries to which the FFT is to be applied.
default: None