||Load data from [Nanduri2012]|
load_nanduri2012(electrodes=None, task=None, shuffle=False, random_state=0)¶
Load data from [Nanduri2012]
Load the brightness and size rating data described in [Nanduri2012]. Datapoints were extracted from figure 4 of the paper using WebplotDigitizer.
Retinal implants: Argus I Subjects: 1 Number of samples: 128 Number of features: 17
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’ or ‘size’ stim_class “Nanduri2012” stim_dur Stimulus duration (ms) freq Stimulus frequency (Hz) amp_factor Stimulus amplitude ratio over threshold brightness Patient rated brightness compared to reference stimulus size Patient rated size compared to reference stimulus ref_stim_class “Nanduri2012” ref_amp_factor Amplitude factor (xTh) of reference pulse ref_freq Frequency (Hz) of reference pulse pulse_dur Pulse duration (ms) pulse_type ‘cathodicFirst’ interphase_dur Interphase gap (ms) varied_param Whether this trial is a part of ‘amp’ or ‘freq’ modulation
New in version 0.7.
- 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