In EyeWire, players are challenged to map branches of a neuron from one side of a cube to the other in a 3D puzzle. Players scroll through the cube and reconstruct neurons with the help of an artificial intelligence algorithm developed at Seung Lab in Princeton University. EyeWire gameplay advances neuroscience by helping researchers discover how neurons connect to process visual information. The game is played by over 200,000 people from 145 countries.
Can You Diagnose Dementia from a Gaming App? By Bahar Gholipour on November 18, 2016 SAN DIEGO—You are guiding a ship through rough waters. On your way you may encounter magical creatures. You can snap […]
Abstract: In this paper we investigate the implications of providing a real-time messaging interface in a Web-based citizen science game. Our study draws on data from two weeks of chat messages and survey responses collected […]
Global neuroscience projects are producing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics simply cannot handle. Online games, like Foldit, Eterna, and Eyewire and now a new neuroscience game, Mozak—are fueling a people-powered research science (PPRS) revolution, […]
From April 10th to April 15th, Citizen Science Games was hosting the @IamCitSci Twitter account. The whole week was dedicated to games and science. We storified the week in different episodes, in case you missed […]
What is a connectome, and why does it matter? Look inside the mind with Sebastian Seung in this Q&A, originally published in Time. Sebastian Seung is a multi-disciplinary expert whose research efforts have spanned the […]