Brain-to-Brain Interface Scales to Multiple People:

Brain-to-Brain Interface Scales to Multiple People:

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Brain-to-Brain Interface Scales to Multiple People:


We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving. The interface combines electroencephalography (EEG) to record brain signals and transcranial magnetic stimulation (TMS) to deliver information noninvasively to the brain. The interface allows three human subjects to collaborate and solve a task using direct brain-to-brain communication. Two of the three subjects are “Senders” whose brain signals are decoded using real-time EEG data analysis to extract decisions about whether to rotate a block in a Tetris-like game before it is dropped to fill a line. The Senders’ decisions are transmitted via the Internet to the brain of a third subject, the “Receiver,” who cannot see the game screen. The decisions are delivered to the Receiver’s brain via magnetic stimulation of the occipital cortex. The Receiver integrates the information received and makes a decision using an EEG interface about either turning the block or keeping it in the same position. A second round of the game gives the Senders one more chance to validate and provide feedback to the Receiver’s action. We evaluated the performance of BrainNet in terms of (1) Group-level performance during the game; (2) True/False positive rates of subjects’ decisions; (3) Mutual information between subjects. Five groups of three subjects successfully used BrainNet to perform the Tetris task, with an average accuracy of 0.813. Furthermore, by varying the information reliability of the Senders by artificially injecting noise into one Sender’s signal, we found that Receivers are able to learn which Sender is more reliable based solely on the information transmitted to their brains. Our results raise the possibility of future brain-to-brain interfaces that enable cooperative problem solving by humans using a “social network” of connected brains.


  1. Isn’t this how the people in the matrix were hooked up, in copper-top fashion?

    More seriously, Gideon Rosenblatt , would you choose to share a direct brain-to-brain connection with other people – e.g., strangers, law enforcement, etc.?

  2. Passing through this game, the mindful gamers were be able to read mind of each other because every gamer knew another’s mind and make up one’s mind.

    Furthermore, after the problem had been solving, it will be to known who is the most capable of among others. . . thank you Gideon!

  3. Michael Verona, this is something I am writing about right now. I think that the benefits of something like this would be remarkable. But it is unfeasible today for the very reason you suggest: trust.

    There is no way in hell that I would opt for something like this were it offered by, say, Facebook. Same with Amazon or Google. The closest would be Apple, but even then, the answer is till no, for me. The answer has to do with business models, incentives, and temptations.

  4. Johanes Albertus, so the game would be decided before it was even play, eh? Interesting thought.

  5. Gideon Rosenblatt which of the future businesses will this tech influence most, where is it being currently worked on?

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