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EyeWire
Sign in to saveEyewire is a citizen science game from Sebastian Seung's Lab at Princeton University. It is a human-based computation game that uses players to map retinal neurons. Eyewire launched on December 10, 2012. The game utilizes data generated by the Max Planck Institute for Medical Research. As of March 2025, Eyewire has had around 350,000 players and resulted in the tracing of 6,000 neurons.''''''
In the Vinony graph
Vinony's link graph records 14 inbound references to EyeWire, and connects out to International Standard Book Number, Massachusetts Institute of Technology and neuron.
It sits within the topics 2012 video games, Browser games and Citizen science.
Vinony links it to 12 Wikipedia language editions.
Key facts
- Video game.title
- Eyewire
- Video game.image
- EyeWire-Logo-Blue.png
- Video game.developer
- Sebastian Seung of Princeton University (formerly Massachusetts Institute of Technology)
- Video game.director
- Amy Sterling
- Video game.platforms
- Webbrowser (WebGL)
- Video game.released
- December 10, 2012
- Video game.genre
- Puzzle, citizen science
via Wikipedia infobox
Wikidata facts
- Genre
- citizen science
- Country of origin
- United States
- Platform
- web browser
- Official website
- www.eyewire.org
Show 4 more facts
- language of work or name
- English language
- publication date
- 2012-12-10
- Commons category
- EyeWire
- user manual URL
- wiki.eyewire.org/How_to_Play
Sources (3)
via Wikidata · CC0
~5 min read
Encyclopedic overview
7 sectionsContents
- Gameplay
- Goal
- Methods
- Publications
- Accomplishments
- References
- External links
Eyewire is a citizen science game from Sebastian Seung's Lab at Princeton University. It is a human-based computation game that uses players to map retinal neurons. Eyewire launched on December 10, 2012. The game utilizes data generated by the Max Planck Institute for Medical Research. As of March 2025, Eyewire has had around 350,000 players and resulted in the tracing of 6,000 neurons.''''
Eyewire gameplay is used for neuroscience research by enabling the reconstruction of morphological neuron data, which helps researchers model information-processing circuits. It is also used to generate a training dataset to further improve the artificial intelligence that assists the player through the gameplay.''
Excerpted from Wikipedia’s “EyeWire” article, available under the CC BY-SA 4.0 licence.