Example Gallery
This gallery contains a number of usage examples and case studies to highlight the ease-of-use and flexibility of pulse2percept.
Implants
The implants module provides access to various
state-of-the-art retinal prostheses, such as
ArgusI and
ArgusII (epiretinal),
Alpha-IMS and
PRIMAPivotal (subretinal),
as well as BVT24 (suprachoroidal).
Other implants can be added by creating a new
Implant object.
Stimuli
The stimuli module provides a number of common
electrical stimulus types, such as
BiphasicPulseTrain,
which can be assigned to electrodes of a
Implant object.
Stimuli can also be created from images
(ImageStimulus) and videos
(VideoStimulus).
Generating a drifting sinusoidal grating or drifting bar stimulus
Models
The pulse2percept.models module provides a number of published and
verified computational models that can be used to predict neural responses or
visual percepts resulting from electrical stimulation, such as
Nanduri2012Model and
AxonMapModel.
New models can be created by mixing-and-matching spatial and temporal models, or by creating a new one from scratch.
Neuropythy and Neuralink: Patient specific visual field maps based on MRI
Beyeler et al. (2019): Focal percepts with the scoreboard model
Beyeler et al. (2019): Axonal streaks with the axon map model
Granley et al. (2021): Effects of Biphasic Pulse Parameters with the BiphasicAxonMapModel
Horsager et al. (2009): Predicting temporal sensitivity
Nanduri et al. (2012): Frequency vs. amplitude modulation
Residual vision
The pulse2percept.vision module describes the visual world an implanted
eye is looking at: what is present (Scene)
and where native vision is lost
(Scotoma). A model registers a scene against
an implant and returns what the person sees; see Simulating a visual scene.
Simulating PRIMA in age-related macular degeneration (AMD)
Plotting
The pulse2percept.plotting module provides figures and animations
that combine multiple pulse2percept objects. Individual objects retain their
own plot() and play() methods.
Datasets
The pulse2percept.datasets module provides helper functions
that can be used to load datasets from the bionic vision community,
such as load_horsager2009(),
fetch_beyeler2019(),
load_nanduri2012() and
load_fornos2012().
Phosphene fading data from Perez Fornos et al. (2012)
For developers
Code examples for people interested in contributing to pulse2percept.
