Difference between revisions of "EyeWire Wiki Table of Contents"
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*[[Completing a Cell]] | *[[Completing a Cell]] | ||
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== The Science == | == The Science == | ||
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== [[EyeWire Library]] == | == [[EyeWire Library]] == | ||
A collection of papers for those interested in delving deeper into the science behind EyeWire. | A collection of papers for those interested in delving deeper into the science behind EyeWire. | ||
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== Making a Contribution of Your Own == | == Making a Contribution of Your Own == |
Revision as of 18:54, 17 July 2014
EyeWire is a game to map the brain from Sebastian Seung's Lab at MIT. This citizen science human-based computation game challenges players to map 3D neurons in a retina. Eyewire was officially launched on December 10, 2012 and has since grown to over 135,000 players from 140+ countries.
EyeWire gameplay advances neuroscience by helping researchers discover how neurons connect to process visual information. Anyone, anywhere can help neuroscientists at MIT develop advanced artificial intelligence and computational technologies for mapping the connectome. You need no scientific background to play. EyeWire works best on high speed internet. It is optimized for use on Google Chrome.
Contents
The Game
Instructions
Advanced Topics
Player Roles
The Science
Background
- Connectomics: An Introduction
- The Eye and Retina
- Retinal Connectomics
- Citizen Science and Citizen Neuroscience
- Excerpts from Connectome the book
How Connectomics is Done
- Machine-learning-enabled Image Analysis
- Artificial Intelligence
- Tracing using Omni
- Neural computational models
Our Data
Neurons
Amacrine Cell
Bipolar Cell
Ganglion Cell
Horizontal Cell
Glial Cell
Photoreceptors
Substructures of the neuron
Meet Seung Lab
EyeWire in Schools
- High school outreach
- MOSTEC (A summer program at MIT for high school students interested in Connectomics.)
EyeWire Library
A collection of papers for those interested in delving deeper into the science behind EyeWire.