||Load data from [Greenwald2009]|
load_greenwald2009(subjects=None, electrodes=None, shuffle=False, random_state=0)¶
Load data from [Greenwald2009]
Load the brightness and size rating data described in [Greenwald2009]. Datapoints were extracted from figure 4 of the paper using WebplotDigitizer.
Retinal implants: Argus I Subjects: 2 Number of samples: 83 Number of features: 12
The dataset includes the following features:
subject Subject ID, S06 implant Argus I electrode Electrode ID, A2, A4, B1, C1, C4, D2, D3, D4 task ‘rate’ stim_class “Greenwald2009” stim_dur Stimulus duration (ms) amp Amplitude of the stimulation brightness Patient reported brightness pulse_dur Pulse duration (ms) interphase_dur Interphase gap (ms) pulse_type ‘cathodicFirst’ threshold Electrical stimulation threshold
New in version 0.7.
- subjects (str | list of strings | None, optional) – Select data from a single subject or a list of subjects. By default, all subjects are selected
- electrodes (str | list of strings | None, optional) – Select data from a single electrode or a list of electrodes. By default, all electrodes are selected.
- shuffle (boolean, optional) – If True, the rows of the DataFrame are shuffled.
- random_state (int | numpy.random.RandomState | None, optional) – Determines random number generation for dataset shuffling. Pass an int for reproducible output across multiple function calls.
data (pd.DataFrame) – The whole dataset is returned in a 144x16 Pandas DataFrame