Difference between revisions of "EyeWire Wiki Table of Contents"
From Eyewire
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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. | 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. | ||
| − | + | == The Game == | |
| − | + | ||
| + | === Instructions === | ||
*[[How to Play]] | *[[How to Play]] | ||
*[[F-Scores and Accuracy]] | *[[F-Scores and Accuracy]] | ||
| Line 19: | Line 20: | ||
*Help with [[WebGL]] | *Help with [[WebGL]] | ||
| − | + | == The Science == | |
| − | + | ||
| + | === Background === | ||
*[[Connectomics: An Introduction]] | *[[Connectomics: An Introduction]] | ||
*[[Anatomy of the eye and the retina]] | *[[Anatomy of the eye and the retina]] | ||
| Line 27: | Line 29: | ||
*[[Excerpts from Connectome the book]] | *[[Excerpts from Connectome the book]] | ||
| − | + | === How Connectomics is Done === | |
*[[Machine-learning-enabled Image Analysis]] | *[[Machine-learning-enabled Image Analysis]] | ||
*[[Artificial Intelligence]] | *[[Artificial Intelligence]] | ||
| Line 33: | Line 35: | ||
* [[Neural computational models]] | * [[Neural computational models]] | ||
| − | + | === Our Data === | |
*[[E2198]] | *[[E2198]] | ||
*[[Serial block-face scanning electron microscopy (SBFSEM)]] | *[[Serial block-face scanning electron microscopy (SBFSEM)]] | ||
| − | + | ||
| − | + | == [[Neuron]]s == | |
| + | |||
| + | === [[Amacrine Cell]] === | ||
* [[Starburst Amacrine Cell]] | * [[Starburst Amacrine Cell]] | ||
| − | + | ||
| − | + | === [[Bipolar Cell]] === | |
| + | |||
| + | === [[Ganglion Cell]] === | ||
* [[Orientation Selective Ganglion Cell|Orientation-Selective Ganglion Cell]] | * [[Orientation Selective Ganglion Cell|Orientation-Selective Ganglion Cell]] | ||
* [[W3 Cell]] | * [[W3 Cell]] | ||
| − | |||
| − | |||
| − | =====Substructures of the neuron | + | === [[Horizontal Cell]] === |
| − | *[[Cell Body]] | + | |
| − | *[[Dendrite]] | + | === [[Glial Cell]] === |
| − | *[[Axon]] | + | |
| − | *[[Synapse]] | + | == Substructures of the neuron == |
| + | * [[Cell Body]] | ||
| + | * [[Dendrite]] | ||
| + | * [[Axon]] | ||
| + | * [[Synapse]] | ||
* [[Autapse]] ([[Self-touch]]) | * [[Autapse]] ([[Self-touch]]) | ||
| − | + | == Meet Seung Lab == | |
| − | *[[Who we are and what we do.]] | + | * [[Who we are and what we do.]] |
| − | + | == EyeWire in Schools == | |
| − | *[[High school outreach]] | + | * [[High school outreach]] |
| − | *[[MOSTEC]] | + | * [[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. | A collection of papers for those interested in delving deeper into the science behind EyeWire. | ||
| − | + | == [[Advanced Roles in EyeWire]] == | |
| − | + | == Making a Contribution of Your Own == | |
*[[Make a Prezi Presentation!]] | *[[Make a Prezi Presentation!]] | ||
*[[How to Read a Science Paper]] | *[[How to Read a Science Paper]] | ||
| Line 71: | Line 79: | ||
*[[Add your contribution to the site]] | *[[Add your contribution to the site]] | ||
| − | + | == Connect with EyeWire == | |
*[http://forum.eyewire.org Forums] | *[http://forum.eyewire.org Forums] | ||
*[http://blog.eyewire.org Blog] | *[http://blog.eyewire.org Blog] | ||
Revision as of 23:15, 16 June 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
- How to Play
- F-Scores and Accuracy
- Tutorials
- Competitions
- Overcoming Obstacles
- FAQ
- Consensus
- Mergers
- Help with WebGL
The Science
Background
- Connectomics: An Introduction
- Anatomy of the eye and the 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
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.
Advanced Roles in EyeWire
Making a Contribution of Your Own
- Make a Prezi Presentation!
- How to Read a Science Paper
- Conduct your own research
- Add your contribution to the site
