Neuroscientists have successfully hooked up a three-way brain connection to allow three people share their thoughts – and in this case, play a Tetris-style game. The team thinks this wild experiment could be scaled up to connect whole networks of people, and yes, it’s as weird as it sounds.
It works through a combination of electroencephalograms (EEGs), for recording the electrical impulses that indicate brain activity, and transcranial magnetic stimulation (TMS), where neurons are stimulated using magnetic fields.
The researchers behind the new system have dubbed it BrainNet, and say it could eventually be used to connect many different minds together, even across the web.
But apart from opening up strange new methods of communication, BrainNet could actually teach us more about how the human brain functions on a deeper level.
“We present BrainNet which, to our knowledge, is the first multi-person non-invasive direct brain-to-brain interface for collaborative problem solving,” write the researchers.
“The interface allows three human subjects to collaborate and solve a task using direct brain-to-brain communication.”
In the experiment set up by the scientists, two ‘senders’ were connected to EEG electrodes and asked to play a Tetris-style game involving falling blocks. They had to decide whether each block needed rotating or not.
To do this, they were asked to stare at one of two flashing LEDs at either side of the screen – one flashing at 15 Hz and the other at 17 Hz – which produced different signals in the brain that the EEG could pick up on.
These choices were then relayed to a single ‘receiver’ through a TMS cap that could generate phantom flashes of light in the receiver’s mind, known as phosphenes. The receiver couldn’t see the whole game area, but had to rotate the falling block if a light flash signal was sent.
Across five different groups of three people, the researchers hit an average accuracy level of 81.25 percent, which is decent for a first try.
To add an extra layer of complexity to the game, the senders could add a second round of feedback indicating whether the receiver had made the right call.
Receivers were able to detect which of the senders was most reliable based on brain communications alone, which the researchers say shows promise for developing systems that deal with more real world scenarios where human unreliability would be a factor.
And while the current system can only transmit one ‘bit’ (or flash) of data at a time, the team from the University of Washington and Carnegie Mellon University thinks the setup can be expanded in the future.