brainmass.datasets.Signal

class brainmass.datasets.Signal(signal, dt, labels, fc)

A short multi-region target time series and its functional connectivity.

Parameters:

• signal (ndarray)

• dt (Quantity)

• labels (ndarray)

• fc (ndarray)

signal

(time, region) time series.

Type:

numpy.ndarray

dt

The sampling step, unit-aware (milliseconds).

Type:

brainunit.Quantity

labels

(region,) region labels.

Type:

numpy.ndarray

fc

(region, region) functional-connectivity (Pearson correlation) matrix.

Type:

numpy.ndarray

__init__()

Methods

__init__()
count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Attributes

dt	Alias for field number 1
fc	Alias for field number 3
labels	Alias for field number 2
signal	Alias for field number 0

signal: ndarray

Alias for field number 0

dt: Quantity

Alias for field number 1

labels: ndarray

Alias for field number 2

fc: ndarray

Alias for field number 3