Difference between revisions of "EyeWire Wiki Table of Contents"

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=====How Connectomics is Done=====
 
=====How Connectomics is Done=====
*[[Serial block-face scanning electron microscopy (SBFSEM)]]
 
 
*[[Machine-learning-enabled Image Analysis]]
 
*[[Machine-learning-enabled Image Analysis]]
 
*[[Artificial Intelligence]]
 
*[[Artificial Intelligence]]
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=====Our Data=====
 
=====Our Data=====
 
*[[E2198]]
 
*[[E2198]]
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*[[Serial block-face scanning electron microscopy (SBFSEM)]]
 
=== [[Neuron]]s ===
 
=== [[Neuron]]s ===
 
=====[[Amacrine Cell]]=====
 
=====[[Amacrine Cell]]=====

Revision as of 16:15, 16 June 2014

EyeWire: a game to map the brain.
Neurons Mapped by EyeWirers

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.

The Game

Instructions

The Science

Background
How Connectomics is Done
Our Data

Neurons

Amacrine Cell
Bipolar Cell
Ganglion Cell
Horizontal Cell
Glial Cell
Substructures of the neuron

Meet Seung Lab

EyeWire in Schools

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

Connect with EyeWire

Wiki Translation Template