pulse2percept.stimuli.AsymmetricBiphasicPulse
- class pulse2percept.stimuli.AsymmetricBiphasicPulse(amp1, amp2, phase_dur1, phase_dur2, interphase_dur=0, delay_dur=0, stim_dur=None, cathodic_first=True, electrode=None)[source]
Asymmetric biphasic pulse
A simple stimulus consisting of a single biphasic pulse: a cathodic and an anodic phase, optionally separated by an interphase gap. The two pulse phases can have different amplitudes and duration (“asymmetric”).
Added in version 0.6.
Changed in version 0.10.0: The pulse retains the parameters that define it, and generates its sampled waveform only when one is asked for.
- Parameters:
amp1 (float) – Current amplitude (uA) of the first and second pulse phases. Negative currents: cathodic, positive: anodic. The signs will be converted automatically depending on
cathodic_first.amp2 (float) – Current amplitude (uA) of the first and second pulse phases. Negative currents: cathodic, positive: anodic. The signs will be converted automatically depending on
cathodic_first.phase_dur1 (float) – Duration (ms) of the first and second pulse phases.
phase_dur2 (float) – Duration (ms) of the first and second pulse phases.
interphase_dur (float, optional, default: 0) – Duration (ms) of the gap between cathodic and anodic phases.
delay_dur (float) – Delay duration (ms). Zeros will be inserted at the beginning of the stimulus to deliver the first pulse phase after
delay_durms.stim_dur (float, optional, default:) –
2*phase_dur+interphase_dur+delay_durTotal stimulus duration (ms). Zeros will be inserted at the end of the stimulus to make the stimulus laststim_durms overall.cathodic_first (bool, optional, default: True) – If True, will deliver the cathodic pulse phase before the anodic one.
electrode ({ int | string }, optional, default: 0) – Optionally, you can provide your own electrode name.
Notes
The order of the two phases is given by the
cathodic_firstflag.The sign of
ampwill be automatically adjusted depending on thecathodic_firstflag.A pulse will be considered “charge-balanced” if its net current is smaller than 10 picoamps.
Arguments may be given as plain numbers in the units documented above, or as unitful quantities (e.g.
0.05 * mA,450 * us), which are converted to those units. Seepulse2percept.units.The parameters above are read-only. A pulse with different parameters is a different pulse; build another one.
amp1andamp2read back as magnitudes, because that is all of them that reaches the waveform: the constructor takesnp.absof each and gets the polarity fromcathodic_first.
Examples
An asymmetric cathodic-first pulse (first phase: -40uA, 1ms; second phase: 10uA, 4ms; 1ms interphase-gap) delivered after 2ms and embedded in a stimulus that lasts 15ms overall:
>>> from pulse2percept.stimuli import AsymmetricBiphasicPulse >>> pulse = AsymmetricBiphasicPulse(-40, 10, 1, 4, interphase_dur=1, ... delay_dur=2, stim_dur=15)
- __init__(amp1, amp2, phase_dur1, phase_dur2, interphase_dur=0, delay_dur=0, stim_dur=None, cathodic_first=True, electrode=None)[source]
Methods
__init__(amp1, amp2, phase_dur1, phase_dur2)append(other)Append another stimulus
compress()Compress the source data in place
pad(duration)Pad the stimulus with zeros up to a given time.
plot([electrodes, time, fmt, ax, kind])Plot the stimulus
remove(electrodes)Remove electrode(s)
shift(dt)Shift the stimulus in time.
times([unit])The stimulus time axis, expressed in
unitvalues([unit])The stimulus data, expressed in
unitAttributes
Magnitude (uA) of the first pulse phase
Magnitude (uA) of the second pulse phase
Whether the cathodic phase is delivered first
Stimulus data container
Delay (ms) before the first phase is delivered
Sampling time step (duration of signal edge transitions)
Stimulus duration (ms)
Electrode names A list of electrode names, corresponding to the rows in the data container.
Duration (ms) of the gap between the two phases
Flag indicating whether the stimulus is charge-balanced
Flag indicating whether the stimulus has been compressed
metadataDuration (ms) of the first pulse phase
Duration (ms) of the second pulse phase
The stimulus data, with its unit attached
Data container shape
Total stimulus duration (ms)
A list of time steps (i.e., the columns in the data container)
The stimulus time axis with its unit attached, or None
The unit
timeis expressed inThe unit
datais expressed in- property amp1
Magnitude (uA) of the first pulse phase
- property amp2
Magnitude (uA) of the second pulse phase
- property phase_dur1
Duration (ms) of the first pulse phase
- property phase_dur2
Duration (ms) of the second pulse phase
- property interphase_dur
Duration (ms) of the gap between the two phases
- property delay_dur
Delay (ms) before the first phase is delivered
- property stim_dur
Total stimulus duration (ms)
- property duration
Stimulus duration (ms)
The waveform is built to end exactly at
stim_dur, so this is known without generating one.
- property cathodic_first
Whether the cathodic phase is delivered first
- append(other)[source]
Append another stimulus
This method appends another stimulus (with matching electrodes) in time. The combined stimulus duration will be the sum of the two individual stimuli.
Added in version 0.7.
- compress()[source]
Compress the source data in place
- property data
Stimulus data container
A read-only 2-D NumPy array that contains the sampled waveform, where the rows denote electrodes and the columns denote points in time.
- property dt
Sampling time step (duration of signal edge transitions)
Added in version 0.7.
- property electrodes
Electrode names A list of electrode names, corresponding to the rows in the data container.
- property is_charge_balanced
Flag indicating whether the stimulus is charge-balanced
A stimulus with a time component is considered charge-balanced if its net current is smaller than 10 pico Amps. For the whole stimulus to be charge-balanced, every electrode must be charge-balanced as well.
Changed in version 0.10.0: Returns None for a stimulus that is not measured in units of current.
- property is_compressed
Flag indicating whether the stimulus has been compressed
- pad(duration)[source]
Pad the stimulus with zeros up to a given time.
Adds zero-valued endpoints at
t=0andt=durationas needed.durationspecifies the final time, not the amount of padding to add.Added in version 0.10.0.
- Parameters:
duration (float or
Quantity) – Final time of the padded stimulus. Bare values are interpreted in the stimulus’ time unit.- Returns:
padded – Padded copy of the stimulus.
- Return type:
Notes
Padding requires existing boundary values to be zero; otherwise interpolation would create a ramp. It never truncates the stimulus or removes negative time points.
- plot(electrodes=None, time=None, fmt='k-', ax=None, kind=None)[source]
Plot the stimulus
Added in version 0.7.
Changed in version 0.10.0: Added
kind: a whole multi-electrode stimulus is now drawn as an electrode-by-time heatmap rather than as one subplot per electrode.- Parameters:
electrodes (int, string, or list thereof; optional, default: None) – The electrodes for which to plot the stimulus. If None, all electrodes are plotted.
time ((t_min, t_max) tuple, slice, or list of exact time points) – The time points at which to plot the stimulus. Specify a range of time points with a tuple or a slice, or specify the exact time points to interpolate. If None, all time points are plotted.
fmt (str, optional, default: 'k-') – A Matplotlib format string; e.g., ‘ro’ for red circles to use when
kind='traces'.ax (matplotlib.axes.Axes or list thereof; optional, default: None) – A Matplotlib Axes object.
kind='traces'also accepts a list thereof (one per electrode to plot);kind='heatmap'draws into a single Axes. If None, a new Axes object will be created.kind ({'traces', 'heatmap'}, optional, default: None) –
What to draw:
’traces’: the waveform of each electrode, one Axes per electrode. Good for a handful of electrodes.
’heatmap’: an electrode-by-time image in a single Axes. Good for a whole implant’s worth of electrodes.
If None, a whole stimulus of more than one electrode is drawn as a heatmap and everything else as traces.
- Returns:
ax – One Axes per electrode for
kind='traces', a single Axes forkind='heatmap'.- Return type:
matplotlib.axes.Axes or np.ndarray of them
- property quantity
The stimulus data, with its unit attached
Added in version 0.10.0.
Examples
>>> from pulse2percept.stimuli import Stimulus >>> from pulse2percept.units import uA >>> Stimulus([500, 1000] * uA).quantity [[ 500.] [1000.]] uA
- remove(electrodes)[source]
Remove electrode(s)
Removes the stimulus of a certain electrode or list of electrodes.
Added in version 0.8.
- property shape
Data container shape
- shift(dt)[source]
Shift the stimulus in time.
Added in version 0.10.0.
- Parameters:
dt (float or
Quantity) – Time shift. May be positive or negative. Bare values are interpreted in the stimulus’ time unit.- Returns:
shifted – Shifted copy of the stimulus.
- Return type:
Notes
stim >> dtandstim << dtare shorthand forstim.shift(dt)andstim.shift(-dt).
- property time
A list of time steps (i.e., the columns in the data container)
- property time_quantity
The stimulus time axis with its unit attached, or None
Added in version 0.10.0.
- property time_unit
The unit
timeis expressed inAdded in version 0.10.0.
- times(unit=None)[source]
The stimulus time axis, expressed in
unitAdded in version 0.10.0.
- Parameters:
unit (
Unit, optional) – The unit to express the time axis in. If None,timeis returned as it is stored (milliseconds).- Returns:
times – An ordinary NumPy array, or None if the stimulus has no time component.
- Return type:
np.ndarray or None
- property unit
The unit
datais expressed inAdded in version 0.10.0.
- values(unit=None)[source]
The stimulus data, expressed in
unitAdded in version 0.10.0.
- Parameters:
unit (
Unit, optional) – The unit to express the data in. Must be compatible withunit. If None, the stimulus’ own unit is used anddatais returned as it is stored.- Returns:
values – An ordinary NumPy array, never a
Quantity.- Return type:
np.ndarray
Examples
>>> from pulse2percept.stimuli import Stimulus >>> from pulse2percept.units import uA, mA >>> Stimulus([500, 1000] * uA).values(mA) array([[0.5], [1. ]], dtype=float32)