Missing Results Charts This article was created to explain and inform you about the cutting-edge biotechnology of hybrid brain-machine interfaces (HBMI) and advances in neurophysiology. This research has resulted in insight into its possible applications and use with prosthetic limbs and sensory aids. This research illustrates 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 the treatment of neurological diseases or injuries that have suppressed motor and sensory functions, but also for a better understanding of the complexities of the human mind. Introduction: What is a hybrid brain interface -machine?The brain is a complex circuit of neurons acting as the primary command center of your body, constantly dictating your every movement, thought, and emotion. The capabilities of the human brain, with its vast capacity to store knowledge, memories, emotions, etc., are often considered the reason that differentiates humans from the rest of the animal kingdom. However, this central command can sometimes malfunction due to neurological diseases (i.e. epilepsy) or injuries that can affect normal bodily functions. Different palliative treatments are sought for these dysfunctions. The goal of this website is to give you an overview 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 that brain signals can control. There are two types of HBMI being researched, type 1 and type 2. Typ...... middle of paper ...... when the brain wants it, but cannot move a limb lost [2]. So, in conclusion, HBMI technology should be important for everyone. Not only can it replace what has been lost, but it can also greatly improve everyone's life. 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 through the use of trained neurons. After all, isn't technology our way of building on what nature has given us? References 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 AL Nicolelis..