This paper was created to explain and inform you of the cutting edge biotechnology of hybrid brain machine interfaces (HBMI) and advances in neurophysiology. This research has given way to a glimpse of its possible applications and use with prosthetic limbs and sensory aids. This research exemplifies our growing knowledge of science through the integration of different scientific fields such as neuroscience, mathematics, biotechnology, neurophysiology, robotics and computer science. HBMIs are particularly important for treatment of neurological disease or injuries which have taken away motor and sensory functions, but also for the further understanding of the complexities of the human mind.
What is a hybrid brain machine interface?
The brain is an intricate circuit of neurons acting as the main command center for your body constantly dictating your every movement, thought, and emotion. The capabilities of the human brain with its vast ability to store knowledge, memories, emotions, etc. is often considered the reason that differentiates humans from the rest of the animal kingdom. However, sometimes this central command can malfunction due to neurological diseases(i.e. epilepsy) or injury which can affect normal bodily functions. Different palliative treatments are being researched for these malfunctions. The emphasis on this website is to give you a glimpse of a different type of treatment for neurological disorders and injuries affecting sensory and motor functions. Hybrid brain machine interfaces (HBMIs) are artificial electronic or mechanical devices implanted in the human brain which brain signals can control. There are two types of HBMIs being researched, Type 1 and Type 2. Typ...
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... when the brain wants to, but cannot move a lost limb .
So, in closing, HBMI technology should be important to everyone. Not only can it replace what has been lost, but it can also greatly enhance the lives of everyone. Again, the “hybrid” part of HBMI means that people and machines work in unison. Our uncanny ability to learn combined with our own circuit board, the brain, can lead to the control of any complex machine by the use of trained neurons. After all, isn’t technology our way of building on what nature gave us?
Real-time prediction of hand trajectory by ensembles of cortical neurons in primates written by Johan Wessberg, Christopher R. Stambaugh, Jerald D. Kralik, Pamela D. Beck, Mark Laubach, John K. Chapin, Jung Kim, S. James Bigss, Mandayam A. Srinivasan, and Migual A. L. Nicolelis.
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