The thought that the brain can be directly accessed to permit a person to control an external device with thoughts alone is developing as a genuine alternative for patients with motor disabilities. This range of study, known as neuroprosthetics, has looked to make devices, known as brain computer interfaces (BCIs), that secure brain signals and make an interpretation of them to machine commands with the end goal that they reflect the intentions of the user.
The idea that a computer can decode mind signal to infer the aims of a human subject and after that enact those goals directly through a machine is developing as a sensible specialized probability. These types of devices are known as brain computer interfaces or BCIs. The advancement of these neuroprosthetic technologies could have huge implications for patients with motor disabilities by upgrading their capacity to interface and communicate with their environment. Traditionally, the cortical physiology that has been most investigated and utilized for device control has been brain signals from the primary engine cortex. To date, this motor engine physiology has been a compelling substrate for showing the potential viability of BCI-based control. Emerging research in cortical
physiology, however, now stands to further improve our comprehension of the cortical physiology supporting human intent and gives additionally signals to more perplexing brain-derived control.
This Info graphics on Brain Computer Interfaces, very helpful in understanding the concept of BCIs. – by Futurism
Conclusion by The Evolution of Brain-Computer Interfaces – Eric C. Leuthardt, Washington University
The field of neuroprosthetics is growing rapidly. The cortical physiology that underpins the manner in which a human brain encodes intentions is beginning to be understood. This will have a significant impact in augmenting function for those with various forms of motor disabilities. As research stretches beyond motor physiology, the field of neuroprosthetics now stands to further expand in capability and in diversity of clinical populations served. The evolving understanding of cortical physiology as it relates to motor movements, language function, and plasticity could all provide higher levels of complexity in brain-derived control. Given the rapid progression of these technologies over the past decade and the concomitant swift ascent of computer processing speeds, signal analysis techniques, and emerging ideas for novel biomaterials, neuroprosthetic implants will hopefully in the near future be as common as deep brain stimulators are today. The clinical advent of this technology will usher in a new era of restorative neurosurgery and new human-machine interfaces. – National Academy of Sciences