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Wednesday 6 March 2013

MIT crowdsources and gamifies brain analysis

There are around 100 billion neurons in a human brain, forming up to 100 trillion synaptic interconnections. Neuroscientists believe that these synapses are the key to almost every one of your unique, identifiable features: Memories, mental disorders, and even your personality are encoded in the wiring of your brain.


Understandably, neuroscientists really want to investigate these neurons and synapses to work out how they play such a vital role in our human makeup. Unfortunately, these 100 trillion connections are crammed into a two-pound bag of soggy flesh, making analysis rather hard. At the moment we know that neurons trigger an electrical signal, and that hormones affect the speed at which signals cross between synapses, and that somehow this results in a mental image of a naked Kristen Bell from her Veronica Mars period, but that’s about it.


NeuronMIT wants to change all that by tasking thousands of people with analy ing a 0.3-millimeter slice of mouse retinal tissue. Using a new site called Eyewire, MIT will ask users to track a neuron’s path by coloring in each axon (tendril). In the future, MIT will roll out another “game” which challenges users to find the synapses. The end result will be the connectome (a tome of connections) of the mouse’s retina.


To perform this kind of analysis, MIT must slice this three-dimensional 0.3-millimeter piece of brain tissue into incredibly thin, “2D” slices using a diamond blade and a process called serial electron microscopy. The slices are so thin that a terabyte of images are created from a piece of brain that’s much smaller than the head of a pin. You now have some idea of how hard it will be to investigate and understand the human brain; we’re talking about hundreds of exabytes of imagery that would need to be analy ed.


Ultimately, though, if we could get our hands on the connectome of the human brain… Well, we would experience an enlightenment of unprecedented scale. We would understand exactly why we are the way that we are. There would be no stones left to turn.


For further reading, hit up MIT, the Eyewire site, or read Connectome by MIT’s Sebastian Seung (with a name like that the book must be good).



MIT crowdsources and gamifies brain analysis
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