Dismantling the computer interface in the brain

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pic10967515

Brain computer facades (BCIS) to cutHelp technology provides hope for people with disabilities who have lost the ability to speak or move due to various causes such as neurological degenerative diseases or neurological disorders or Painful brain injuries. New BCI teacher Ticket Stanford’s neuroscientists in Stanford A. The computer’s computer interface It is able to decode the internal discourse to drive up to 74 %.

“We have discovered that internal speech is a strong actor and showed proof of the concept in the actual time BCI can decipher the imagined sentences from the big vocabulary (125,000 words)” Neurosurgery At Stanford University, in cooperation With a team of more than 20 scientists in Stanford Medicine, Massachusetts General Hospital, Harvard University Medical College, Emori University, Georgia Institute of Technology, University of California, Davis and Brown University.

In addition to Wilt, the authors participating in the study including Irene Konz, Benjamin Abramovich Krasa, Furam Kamdar, Donald Avenino, Nick Han, Seongon Yun, Akancha Singh, Samuel Nasson Thomasoski, Karens, Hochirg, Daniel Robin, Zeef Williams, David Brandman, Serge Stavsky, Nicholas Awyong, Chethan Bandarm, Shul Drogman, and Jimmy Henderson.

The researchers reported that the BCI’s word error rate is to decode internal speech in actual time using vocabulary of 125,000 words that were low to 26 %.

The brain’s computer interfaces person person to control external devices using ideas to perform tasks to improve the quality of daily life such as moving chairs, automatic ends, computers, smartphones, and more devices.

Many current BCI systems rely on brain records of the patient’s nervous activity who is trying to speak. In this study, the researchers sought to decipher the imagined speech, also known as internal speech, internal monologue, self -speaking, silent speech, internal speech, and pictures of speech, Internal voiceInternal monologue, verbal thinking, secret self -speaking and internal dialogue.

Four participants in the study of the four -pain were part of the feasibility study of the Braingate2 clinical trials. They had sensors for the neural facade system that was placed in the areas related to the dandruff, the kinetic cortex, in order to record brain activity.

Among the participants were two males, one female with atrophic side sclerosis (ALS), and a survivor of stroke that was diagnosed with a rabbit and a speech imbalance. The analog signals were numbered via Neuroplex E by Blackrock Microsystems, where the participants were asked to either try to speak or imagine internal speech.

The researchers have discovered that there is a great link between the nervous representation of the imagined discourse and the attempt to speak and that it can be distinguished through a nervous dimension that represents the kinetic intention.

“We have achieved the possibility of deciphering private interior speech and we found that some free aspects of the inner speech can be deciphered while calling the sequence and task account,” the researchers said.

There was an interesting discovery that unintended decoding can be prevented by asking the user to think about a major word to cancel the brain’s computer interface insurance. The team found that with one of the participants, the keyword strategy worked accurately up to 98.75 % in actual time experiences.

Computer facades brain use artificial intelligence (AI) Determination of patterns in registered brain activity is noisy in order to predict intended words. In this study, scientists have chosen the use of repeated nerve network structure (RNN) with five layers to convert brain activity from imaginative speech into a series of time possibilities. RNN is a type of artificial intelligent learning model that can process and produce serial predictions of serial inputs and often use to identify speech, natural language processing (NLP), image naming, and emotional analysis.

Through this new discovery he invented, scientists have proven that computer facades in the brain can disintegrate an imagined discourse with large vocabulary, giving hope and paving the way for faster and more powerful aid technology to help paralyzed and disable in the future.

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