braintools.input.Repeated

class braintools.input.Repeated(input_obj, n_times)

Repeated version of an input pattern.

Repeats an input pattern multiple times, useful for creating periodic stimulation protocols.

Parameters:

• input_obj (Input) – The input pattern to repeat.

• n_times (int) – Number of times to repeat.

Notes

The total duration is n_times * original_duration.

Examples

>>> # Single burst
>>> burst = Step([0, 1, 0], [0, 10, 30], 50 * u.ms)
>>>
>>> # Burst train (10 bursts, 500ms total)
>>> train = Repeated(burst, 10)
>>>
>>> # Oscillation packets
>>> packet = Sinusoidal(1.0, 100 * u.Hz, 100 * u.ms)
>>> packets = Repeated(packet, 5)  # 500ms total
>>>
>>> # Usually created via repeat() method
>>> train = burst.repeat(10)

__init__(input_obj, n_times)

Initialize repeated input.

Parameters:

• input_obj (Input) – The input pattern to repeat.

• n_times (int) – Number of times to repeat.

Methods

__init__(input_obj, n_times)	Initialize repeated input.
apply(func)	Apply a custom function to the input.
clip([min_val, max_val])	Clip the input values to a range.
generate()	Generate the repeated input.
repeat(n_times)	Repeat the input pattern n times.
scale(factor)	Scale the input by a factor.
shift(time_shift)	Shift the input in time.
smooth(tau)	Apply exponential smoothing to the input.

Attributes

dt	Get the time step from global environment.
n_steps	Get the number of time steps.
shape	Get the shape of the input array.