BrainNet, direct connection from brain to brain ..!

BrainNet, direct connection from brain to brain : Telepathic communication is getting closer to reality and new research from the University of Washington has written for BrainNet. This research has found that three individuals solve a problem with the help of the brain alone. Yes, a new term is being introduced to the world of technology and science.

In this BrainNet, a game like Tetris is played by three people through a brain-to-brain interface. More than two people are in the Brain to Brain network and this is the first in the world where a person receives and sends information through his brain only. So, here are some facts about BrainNet that may rule the world in the future.

Research reveals

The research team published the research on April 16 in the journal Nature Reports. However, the matter has been in the media since the publication of the research on the arXiv pre-printed site in September. Author Rajesh Rao said that humans are social beings who interact with each other to solve problems and cooperate.

We wanted to know if a group of people were assimilating using only their brains. Rajesh Rao says the BrainNet idea is that two people help one person solve a problem.

How to research ..?

Like the game of Tetris there is a block at the top of the screen and a line to be completed at the bottom. While the two kidnappers can see both the block and the line, they can’t control the game. Only the receiving third party, the block, can be seen.

However, it is possible to tell whether the block should be rotated to complete the row successfully. The two passers-by decide whether or not to turn the block. And transmitting that information from the brain to the recipient’s brain. The receiver then executes that information and completes the game.

The game in 16 rounds

Five groups participating in the research played 16 rounds of play, with each group playing as many as three people in a different room, unable to see, hear, or talk.

Two passersby can see the game displayed on the computer screen. The screen also shows the word yes on one side and the other side no. If the LED lamp is lit 17 times per second, then the LED lamp is lit 15 times per second.

Electroencephalography Cap

Passersby wear electroencephalography caps that pick up electrical activity in their brains. Different flashing patterns of lights trigger a unique type of activity in the brain.

Therefore, as the passenger looks at the light for their corresponding choice, the cap takes those signals and provides a real-time response by displaying the computer cursor on the screen. The options are then translated to a yes or no answer, which is sent to the recipient via the Internet.

Translation of symbols

To deliver the message to the recipient, we used a cable that looked like a small rocket on the back of his head. Co-author Andrea stated that this spiral translates signals from the eyes and stimulates the part of the brain. The authors say that basically the neurons in the back of the brain do the trick to spread the message that they have received signals from the eyes.

Both are the same method

If the answer is yes, flip the block, the recipient will see a bright flash. If the answer is no, the recipient will not see anything. Recipients must receive input from both passengers before making a decision on whether to turn the block. Since the receiver also wore an electroencephalography cap, the passenger used the same procedure to select yes or no.

Opportunity for scrutiny

The dispatcher had the opportunity to review the recipient’s decision and to send corrections if they did not agree. Then, after the recipient sent a second decision, everyone in the group figured out whether the line had been cleared. Each group completed an average of 81% success, with 13 of 16 trials being successful.

Way to the future

According to the researchers, the brain-to-brain interface will revolutionize a lot of the brain and solve problems. Researchers say they can also have great conversations in BrainNet.