BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains

Arxiv  September 29, 2018
A team of researchers in the US (Washington University, Carnegie Mellon University) has developed BrainNet, a multi-person non-invasive direct brain-to-brain interface, for collaborative problem solving. It combines EEG to record brain signals and transcranial magnetic stimulation (TMS) to deliver information noninvasively to the brain. Two of the three subjects are “Senders” whose decisions are decoded via EEG data analysis and transmitted via the Internet to the brain of a third subject, the “Receiver” via magnetic stimulation of the occipital. In tests five groups of three subjects successfully used BrainNet to perform a task with an average accuracy of 0.81. The research raises the possibility of future brain-to-brain interfaces that enable cooperative problem solving by humans using a “social network” of connected brains… read more. Open Access TECHNICAL ARTICLE

While the experiment only used two rounds, BrainNet allows an arbitrary number of interactions between the Senders and the Receiver as they collaborate to solve a task. [Credit: Arxiv]

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