The search for suitable brain-computer interfaces for artificial limbs and prostheses has brought some interesting prototypes that seem to be able to do some telepathy too. In human-to-human communication, speech and other conscious communicative actions are central, but in brain-computer interfaces the communication is based on recognition of electronic currencies in the brain. The electronic currencies are similar in conscious and unconscious brain action, so actually the new methods read thoughts that humans themselves do not know do exist.
Two examples are reported in recent IEEE Computer journal (Vol. 40 No. 1). Firstly, researchers at Stanford university are basing their limb prosthesis improvement on the unconscious "plans" that the brain makes before actually directing the body to move in a certain way. This neural planning activity will utilized for calculating mathematical estimations of how e.g. a prosthetic arm should move and actually base the movement of the arm on the "plan", not on the actual command from the brain to the arm. This way the arm should land on the correct spot with more accuracy, but could in future be used for guiding industrial or other robotics on brain activity alone, or to let machines take over from pilots and drivers when the situation overloads their capacities.
Secondly, the LIINC lab at Columbia University is studying how brain can recognize pictures before the human consciousness really notices actively what has happened. Their Cortically Coupled Computer Vision system is connected to the brain and utilizes its ability to recognize novel, unusual, interesting or rare elements in images more quickly than humans can identify them. In plain words, the devise connects to the human brain through a EEG cap to measure the electrrical signals of neuron groups of the brain. This locational information from within the brain is then used to recognize images in which the viewer has seen something novel or rare, and ranks them in order of importance based on electrical current strength. This innovation is planned for improvements of computer vision systems, but could be used in analysing marketing, closed-cirquit camera pictures, or whatever - to my opinion, even including analysing somebody's thoughts and dreams.
The bad news (or good news, depending on the viewpoint) for this research is the current high cost and clumsiness of BC interface systems. The machinery involved is currently big, and there must be technicians present to make them work. Thus the technologies are mostly used in tests and it will take a long time before a widespread medical or other commercial use is envisioned.
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