Metadata-Version: 2.1
Name: pulse2percept
Version: 0.5.1
Summary: pulse2percept: A Python-based simulation framework for bionic vision
Home-page: http://github.com/uwescience/pulse2percept
Author: Michael Beyeler, Ariel Rokem
Author-email: mbeyeler@uw.edu, arokem@gmail.com
Maintainer: Michael Beyeler, Ariel Rokem
Maintainer-email: mbeyeler@uw.edu, arokem@gmail.com
License: BSD
Platform: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: joblib
Requires-Dist: scikit-image
Requires-Dist: sk-video
Requires-Dist: cython



pulse2percept: A Python-based simulation framework for bionic vision
--------------------------------------------------------------------

By 2020 roughly 200 million people will suffer from retinal diseases such as
macular degeneration or retinitis pigmentosa. Consequently, a variety of
retinal sight restoration procedures are being developed to target these
diseases. Electronic prostheses (currently being implanted in patients)
directly stimulate remaining retinal cells using electrical current, analogous
to a cochlear implant. Optogenetic prostheses (soon to be implanted in human)
use optogenetic proteins to make remaining retinal cells responsive to light,
then use light diodes (natural illumination is inadequate) implanted in the
eye to stimulate these light sensitive cells.

However, these devices do not restore anything resembling natural vision:
Interactions between the electronics and the underlying neurophysiology result
in significant distortions of the perceptual experience.

We have developed a computer model that has the goal of predicting the
perceptual experience of retinal prosthesis patients. The model was developed
using a variety of patient data describing the brightness and shape of
phosphenes elicited by stimulating single electrodes, and validated against an
independent set of behavioral measures examining spatiotemporal interactions
across multiple electrodes.

More information can be found in
`Beyeler et al. (2017) <https://doi.org/10.25080/shinma-7f4c6e7-00c>`_
and in our
`Github repo <https://github.com/uwescience/pulse2percept>`_.



