pulse2percept specifications


Unique identifier OMICS_19130
Name pulse2percept
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Input data A series of (simulated) electrical pulse trains, one pulse train per electrode in the array.
Output data A prediction of the visual percept in both space and time.
Operating system Unix/Linux
Programming languages MATLAB, Python
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Version 0.1.1
Stability Stable
numpy, scipy, joblib, scikit_image, sk_video
Maintained Yes




No version available


  • person_outline Michael Beyeler

Additional information


Publication for pulse2percept

pulse2percept institution(s)
Department of Psychology, University of Washington, Seattle, WA, USA; Institute for Neuroengineering, University of Washington, Seattle, WA, USA; eScience Institute, University of Washington, Seattle, WA, USA
pulse2percept funding source(s)
Supported by the Washington Research Foundation Funds for Innovation in Neuroengineering and Data-Intensive Discovery), a grant from the Gordon & Betty Moore Foundation and the Alfred P. Sloan Foundation to the University of Washington, eScience Institute Data Science Environment, and the National Institutes of Health (NEI EY-012925, EY-014645).

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