pulse2percept specifications

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

versioning

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pulse2percept distribution

download

pulse2percept support

Maintainer

  • Michael Beyeler <>

Additional information

https://uwescience.github.io/pulse2percept/

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Publications

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

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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