pulse2percept is an open-source Python simulation framework used to predict the perceptual experience of retinal prosthesis patients across a wide range of implant configurations.
pulse2percept: A Python-Based Simulation Framework for Bionic Vision
pulse2percept is a BSD-licensed, open-source Python package for simulated prosthetic vision (SPV).
Built on the NumPy and SciPy stacks, as well as contributions from the broader Python community, pulse2percept provides an open-source implementation of several phosphene models for a wide range of state-of-the-art retinal prostheses, to provide insight into the visual experience provided by these devices.
As pulse2percept continues to be adopted by several research labs around the globe, we continue to improve its functionality and performance as well as add new implants, models, and datasets.
"pulse2percept: A #Python-based simulation framework for #BionicVision" by UWIN/@uwescience postdoc @mbeyelerCH w/ @arokem & @ionefine! https://t.co/AnWZIY3VHg
— UW Institute for Neuroengineering (@uwin_seattle) July 13, 2017
Project Lead:
PhD Candidate
Project Affiliates:
Research Assistant
Research Assistant
Research Assistant
Principal Investigator:
Assistant Professor
Collaborators:
Research Associate Professor
University of Washington
Professor
University of Washington
Professor
University of Washington
Publications
pulse2percept: A Python-based simulation framework for bionic vision
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem Python in Science Conference (SciPy) ‘17
