stimpyp.base.AbstractStimulusPattern

class stimpyp.base.AbstractStimulusPattern

Bases: Generic[ST]

Abstract Stimulus Pattern

Dimension parameters:

N = numbers of visual stimulation (on-off pairs) = (T * S)

__init__(time, contrast, *, duration=None)

Parameters:

• time (ndarray) – stim on-off in sec. Array[float, [N, 2]]

• contrast (ndarray) – stimulus contrast. Array[float, N]

• duration (ndarray | None) – theoretical duration in prot file, not actual detected using diode. Array[float, N]

Methods

__init__(time, contrast, *[, duration])
foreach_stimulus([name])
of(rig)	init from Baselog children class

Attributes

time	stim on-off in sec.
contrast	stimulus contrast.
duration	theoretical duration in prot file, not actual detected using diode.

__init__(time, contrast, *, duration=None)

Parameters:

• time (ndarray) – stim on-off in sec. Array[float, [N, 2]]

• contrast (ndarray) – stimulus contrast. Array[float, N]

• duration (ndarray | None) – theoretical duration in prot file, not actual detected using diode. Array[float, N]

time: ndarray

stim on-off in sec. Array[float, [N, 2]]

contrast: ndarray

stimulus contrast. Array[float, N]

duration: ndarray

theoretical duration in prot file, not actual detected using diode. Array[float, N]

classmethod of(rig)

init from Baselog children class

Parameters:

rig (R) – AbstractLog

Returns:

StimPattern

Return type:

Self

abstract foreach_stimulus(name=False)

Parameters:

name (bool)

Return type:

Iterable[tuple[Any, …] | ST]