Difference between revisions of "EyeWire Wiki Table of Contents"
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*[[Completing a Cell]] | *[[Completing a Cell]] | ||
*[[Encountered in cubes]] | *[[Encountered in cubes]] | ||
+ | *[[The Eyewire Lexicon]] | ||
== The Science == | == The Science == | ||
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*[[E2198]] | *[[E2198]] | ||
*[[Serial block-face scanning electron microscopy (SBFSEM)]] | *[[Serial block-face scanning electron microscopy (SBFSEM)]] | ||
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+ | == Retinal Cell Classification == | ||
+ | === [http://museum.eyewire.org/ The Cell Museum: Gallery] === | ||
+ | The Cell Museum is a newly released visualization platform that showcases retinal cell types reconstructed by EyeWire. In addition to providing our own classification for these neurons, we include stratification profile data for each cell. Detailed annotation of cell names can be found in the Database. | ||
+ | |||
+ | === [[The Cell Museum: Database]] === | ||
+ | In conjunction with the Cell Museum, we are developing a database of retinal ganglion cells in an attempt to create a comprehensive catalog of all neuronal cell types in the retina. Our hope is to collaborate with experts in the field to generate a resource that unifies current classification efforts and can be referenced for future research. | ||
== [[Neuron]]s == | == [[Neuron]]s == | ||
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* [[On-Off Direction-Selective Ganglion Cell]] | * [[On-Off Direction-Selective Ganglion Cell]] | ||
* [[JAM-B Cell]] | * [[JAM-B Cell]] | ||
− | === [[Horizontal Cell]] === | + | ===[[Horizontal Cell]] === |
=== [[Glial Cell]] === | === [[Glial Cell]] === | ||
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== Making a Contribution of Your Own == | == Making a Contribution of Your Own == | ||
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*[[Conduct your own research]] | *[[Conduct your own research]] | ||
*[[Add your contribution to the site]] | *[[Add your contribution to the site]] |
Latest revision as of 20:16, 2 September 2015
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 175,000 players from 145 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
- How to Play
- F-Scores and Accuracy
- Tutorials
- Competitions
- Overcoming Obstacles
- FAQ
- For parents
- Help with WebGL
- Linking EyeWire to edX
Player Roles
Advanced Topics
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
Retinal Cell Classification
The Cell Museum: Gallery
The Cell Museum is a newly released visualization platform that showcases retinal cell types reconstructed by EyeWire. In addition to providing our own classification for these neurons, we include stratification profile data for each cell. Detailed annotation of cell names can be found in the Database.
The Cell Museum: Database
In conjunction with the Cell Museum, we are developing a database of retinal ganglion cells in an attempt to create a comprehensive catalog of all neuronal cell types in the retina. Our hope is to collaborate with experts in the field to generate a resource that unifies current classification efforts and can be referenced for future research.
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.