Introducing Eyewire Mystic

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Science Heroes by Zoe Gillette
The following post was first published on Discover.


Four years ago a citizen science game called Eyewire hatched from Seung Lab, then at MIT and now at Princeton. Its goal was to pair up gamers with a challenge that has been bottlenecking neuroscience for decades: mapping the brain. Over the years the project grew. Hundreds of thousands of people helped, enabling new discoveries and stunning visualizations of neurons.

Now, after years of work, a new dataset called Mystic, has become playable for qualifying Eyewire player. This expansion goes live on June 30, marking the first time a new dataset can be played within Eyewire.

Eyewire’s launch in late 2012, gamers have been reconstructing neurons from a mouse retina at nanoscale precision by solving puzzles. The pieces to those 3D puzzles were generated by AI (artificial intelligence) using methods to volumetrically segment a serial stack of images. Eyewire has lived at the intersection of human and artificial intelligence since the beginning, so it’s fitting that the next chapter comes alongside an advancement in AI.

Mystic expands on Eyewire by taking players into the hindbrain of a larval zebrafish. Zfish are commonly used in research; as larvae, they are transparent, allowing researchers to see neurons, or nerve cells, through living tissue. There is also a large mutant database for zfish genetic information, allowing researchers to examine what is changes take place when certain genes or cells are altered.

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Players grow a cell in Eyewire over five hours.

With mystic, players map a brain region similar to the brainstem in humans. It’s an important junction in motor control containing cells called integrator neurons that transform signals related to movement.

Many of the neurons in this part of the brain are uncharted. And there is much to explore. We estimate that there are 1,000 yet-to-be completed neurons in Mystic, a full 1% of a zfish’s nervous system.

Players in Mystic are able to to directly control a threshold of an AI named Msty, whose name derives from “Mean Spanning Tree,” a method of determining whether neighboring 3D supervoxels belong together. By throttling up and down, players adjust how quickly — and recklessly — the software automatically maps branches, allowing for intricate cooperation between humans and machines to solve big problems.

The Mystic dataset is 3.3 times higher resolution than Eyewire — each pixel is 5 nm— and unlike Eyewire, these new images reveal intracellular structures like mitochondria and vesicles. Mystic also contains additional data showing the firing patterns of live integrator neurons, shown in the video below. These data, gathered by Emre Aksay and team from Cornell University, link behavior with neural activity.

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A wave of activity accompanies zfish eye movement. Emre Aksay, Cornell University

Mystic scientific lead Ashwin Vishwanathan used an electron microscope to image in high resolution the same volume of brain that was previously functionally imaged in lower resolution. After aligning the dataset and training AI on it, the next step is synapse-resolution reconstruction achieved with the help of citizen scientists around the world. “There are two goals of this study.” says Vishwanathan. “One is to chart all the synaptic partners of cells that are responsible for encoding the eye-position, and the second is to classify and identify potential new cell types.”

Despite advances in AI, reconstructing these cells is still far too complicated for a human or a machine to do alone. The pairing of human insight with speedy machine performance, as we do with Eyewire and Mystic, is illustrative of the broader machine learning ecosystem: machines augmenting the insight of their human counterparts.

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Eyewire Heroes with a zfish neuron by Zoe Gillette

While hundreds of thousands of science project participants is far from insignificant, large scale games these days often have millions of active users each month. I think more gamers would want to help citizen science projects if only they knew about them. In the hopes of spreading the love for science over the years at Eyewire we’ve drawn inspiration from narratives in games that tap into the human brain’s predisposition for story. We’ve expanded beyond brain visualizations and into game visualizations, bringing to life the Heroes of Neuroscience. This motley crew of supergamers, inspired by the players themselves, goes on adventures in the game, accompanied by story and art. In many cases, they encounter fantastical creatures from worlds unknown.

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Image by Hyunah Choi, Karyll Catubig, and Alex Norton

Adding narrative to citizen science is a growing trend. Wildly successful new projects like Sea Hero Quest and EVE Online’s Project Discovery weave tales of adventure and purpose into motivation for users to play their games. The human brain processes narrative differently than facts, and some researchers hypothesize that we evolved neural mechanisms specifically to for story. Unfortunately, both within citizen science and beyond, scientists don’t often present their results in the form of an enrapturing journey for knowledge. Perhaps we could all learn from the quests games to reach more people.

In the case of Mystic, the story of the Heroes of Neuroscience gains a new chapter, published at Inspired by the science, the heroes diligently work to further AI and other cutting edge technologies in order to advance humankind’s understanding of the brain.

Though fanciful, the Heroes aren’t just imaginary. The players are the heroes of this broader scientific story. Take Gary Heil for example. This Eyewire player has gone above and beyond the call of gaming. Gary created the Scoutslog, an in-game tool crucial for advanced gameplay. For years he has used the Eyewire API to script helpful addons in the game, even creating a special zone for Mystics. Other players help us beta test or provide helpful feedback on potential new features. And all people who play push science forward.

Public participation in science has traditionally been bounded by learning about discoveries after they’ve happened. Thanks to the web, much of that is changing, though it can still be a challenge to get a seat at the table where breakthrough discoveries are made. Citizen science is still early in its quest to break the barriers of science, and it will be years and perhaps decades before we see just how big of an impact it will make. One thing, at least, remains certain now. Science is and has always been an exciting story. We are Eyewire are honored and excited to invite anyone with an internet connection, anywhere in the world to help us write the next chapter by playing Mystic, launching June 30 on

Want more Mystic science? Check out this Q&A with scientist Ashwin Vishwanathan and the Eyewire Players.