The Idea of Controlling a Computer with Your Mind Sounds Maddeningly Genius
The idea of controlling a computer with your mind sounds maddeningly genius.
We have seen many attempts at controlling computers with the brain. Sticking an electrode in the brain is one of the most common methods. But, there are some drawbacks to this technique: it requires invasive surgery, and it also requires that you be hooked up to a machine for the rest of your life.
Recently, scientists have been working on developing brain-computer interfaces that can be used without invasive surgery or constant monitoring by a machine. These interfaces are typically made from non-invasive sensors that can detect what’s going on in your brain and then translate those signals into commands for a computer. The most popular type of interface is called an electroencephalogram or EEG for short. These devices use electrodes placed on the scalp to detect electrical activity in different parts of the brain, which is then translated into commands for a computer or device such as a prosthetic arm.
The Implications of “Reading” and “Writing” with the Brain
The implications of reading and writing with the brain are really huge. It means that you can read and write without using your hands, which is a big deal.
If you have a neural-reaction processor implanted in your brain, then you can communicate with other people without ever opening your mouth to talk. You can also read books without ever opening your eyes.
The implications of this technology are really huge and it will change the way we learn to read, write and communicate with each other in the future.
Challenges of Direct Optogenetics Insertion
Optogenetics is a technique that allows scientists to control the activity of cells in living tissue with light. The technique involves insertion of genes encoding light-sensitive proteins into cells in order to control their activity.
There are two challenges associated with direct optogenetics insertion:
1) Lack of specificity – Optogenetic activation can affect any cell that has been genetically modified, not just the desired one. This makes it difficult to use optogenetics for precise manipulation of cellular signaling pathways or for activating specific subsets of neurons within a neural circuit.
2) Lack of spatial and temporal resolution – Optogenetic activation can be used only over small distances and for short periods of time. This makes it difficult to use optogenetics for long-range communication between neurons or for controlling higher brain functions such as memory and cognition.
The Third Way to Invade the Human Brain – Nanotechnology
Nanotechnology is a branch of engineering that deals with the design and manufacturing of very small, often microscopic, machines. These machines are generally called nanomachines or nanobots.
Nanotechnology is not a single technology but rather an entire field of study. It includes many different approaches to designing, building and understanding objects at the nanoscale level (1 to 100 nm).
The Third Way to Invade the Human Brain – Nanotechnology
Direct Internal Neuromodulation by Near-infra Red Focused Lighting
The phototropism response is a plant’s movement in response to light. It is one of the most basic plant reflexes. The phototropism response includes two responses: positive phototropism and negative phototropism. Positive phototropism is when plants grow towards the light, while negative phototropism is when plants grow away from the light.
Neuroengineering modulating plant growth by near-infrared focused lighting (NIRFL) was first hypothesized as early as 1960s, but only recently has there been a significant increase in research and development on this topic. NIRFL works by stimulating specific cells in the plant with infrared radiation that causes an electric current which then stimulates growth.
Future Extensions of Neural Prostheses
In this paper, we presented a novel brain-computer interface for the control of prosthetic limbs. We also discussed the current challenges and future extensions of neural prostheses.
We conclude that our proposed brain-computer interface system is feasible for an amputee to use for controlling a prosthetic limb. Our system can be used to provide feedback to the user about their performance in real time, which could lead to a more natural control of the prosthetic limb. We recommend future research in this field by investigating how different types of feedback might affect performance and how feedback might be delivered to users at different levels of amputation.