bidirectionalbci

[bidirectionalbci]

The science of a Bidirectional Brain Computer Interface with a function to work from a distance is mistakenly reinvented by laymen as the folklore of Remote Neural Monitoring and Controlling

Critical thinking

How good is your information when you call it RNM? It’s very bad. Is your information empirically validated when you call it RNM? No, it’s not empirically validated.

History of the RNM folklore

In 1992, a layman Mr. John St. Clair Akwei tried to explain a Bidirectional Brain Computer Interface (BCI) technology, which he didn't really understand. He called his theory Remote Neural Monitoring. Instead of using the scientific method, Akwei came up with his idea based on water. Lacking solid evidence, he presented his theory as if it were fact. Without any real studies to back him up, Akwei twisted facts, projected his views, and blamed the NSA. He lost his court case and was sadistically disabled by medical practitioners using disabling pills. They only call him something he is not. Since then, his theory has gained many followers. Akwei's explanation is incorrect and shallow, preventing proper problem-solving. As a result, people waste life-time searching for a true scientific explanation that can help solve this issue. When you call it RNM, the same will be done to you as to Mr. Akwei (calling you something you are not and sadistically disabling you with pills).

Critical thinking

Where does good research-based information come from? It comes from a university or from an R&D lab.

State of the art in Bidirectional BCI

Science-based explanation using Carnegie Mellon University Based on the definition of BCI (link to a scientific paper included), it’s a Bidirectional Brain Computer Interface for having a computer interact with the brain, and it’s extended only with 1 new function to work from a distance.

It’s the non-invasive BCI type, not an implanted BCI. The software running on the computer is a sense and respond system. It has a command/function that weaponizes the device for a clandestine sabotage against any person. It’s not from Tesla, it’s from an R&D lab of some secret service that needs it to do surveillance, sabotages and assassinations with a plausible deniability.

You need good quality information that is empirically validated, and such information comes from a university or from an R&D lab of some large organization. It won’t come from your own explanations because you are not empirically validating them which means you aren’t using the scientific method to discover new knowledge (it’s called basic research).

Goal: Detect a Bidirectional BCI extended to work from a distance (it’s called applied research, solving a problem using existing good quality information that is empirically validated)

Strategy: Continuous improvement of Knowledge Management (knowledge transfer/sharing/utilization from university courses to the community) to come up with hypotheses + experimentation with Muse2 to test your hypotheses and share when they are proved).

This strategy can use existing options as hypotheses which is then an applied research. Or, it can come up with new, original hypotheses and discover new knowledge by testing them (which is basic research). It can combine both as needed.

Carnegie Mellon University courses from Biomedical Engineering (BME)

Basics (recommended - make sure you read):

42665 | Brain-Computer Interface: Principles and Applications:

Intermediate stuff (optional - some labs to practice):

2. 42783 | Neural Engineering laboratory - Neural engineering involves the practice of using tools we use to measure and manipulate neural activity: https://www.coursicle.com/cmu/courses/BMD/42783/

Expert stuff (only if you want to know the underlying physics behind BCI):

3. 18612 | Neural Technology: Sensing and Stimulation (this is the physics of brain cells, explaining how they can be read from and written into) https://www.andrew.cmu.edu/user/skkelly/18819e/18819E_Syllabus_F12.pdf

You have to read those books to facilitate knowledge transfer from the university to you.

With the above good quality knowledge that is empirically validated, the Bidirectional BCI can be likely detected (meaning proved) and in the process, new knowledge about it can be discovered.

Purchase a cheap unidirectional BCI device for experiments at home

Utilize all newly gained knowledge from the above books in practice to make educated guesses based on the books and then empirically validate them with Muse2. After it is validated, share your good quality, empirically validated information about the undisclosed Bidirectional BCI with the community (incl. the steps to validate it).

Python Project

Someone who knows Python should try to train an AI model to detect when what you hear is not from your ear drums. Here is my initial code: https://github.com/michaloblastni/insultdetector You can try this and send me your findings and improvements.

How to do research

Basic research makes progress by doing a literature review regarding a phenomenon, then identifying main explanatory theories, making new hypotheses and conducting experiments to find what happens. When new hypotheses are proved the existing knowledge is extended. New findings can be contributed back to extend existing theories.

In practice, you will review existing scientific theories that explain i.e. the biophysics behind sensing and stimulating brain activity, and you will try to extend those theories by coming up with new hypotheses and experimentally validating them. And then, you will repeat the cycle to discover more new knowledge. When it's a lot of iterations, you need a team.

In applied research, you start with a problem that needs solving. You do a literature review and study previous solutions to the problem. Then, you should synthesize a new solution from the existing ones, and it should involve extending them in a meaningful way. Your new solution should solve the problem in some measurably better way. You have to demonstrate what your novel solution does better i.e. by measuring it, or by proving it with some other way.

In practice, you will do a literature review of past designs of Bidirectional BCI and make them your design options. Then, you will synthesize a new design option from all the design options you reviewed. The new design will get you closer toward making a Bidirectional BCI work from a distance. Then, you will repeat the cycle to improve upon your design further until you eventually reach the goal. When it's a lot of iterations, you need a team.

Using a Bidirectional BCI device to achieve synthetic telepathy

How to approach learning, researching and life

At the core, the brain is a biological neural network. You make your own connections in it stronger when you repeatedly think of something (i.e. while watching an expert researcher on youtube). And your connections weaken and disconnect/reconnect/etc. when you stop thinking of something (i.e. you stop watching an expert on how to research and you start watching negative news instead).

You train yourself by watching/listening/hanging out with people, and by reading about/writing about/listening to/doing certain tasks, and also by other means.

The brain has a very limited way of functioning because when you stop repeatedly thinking of something it soon starts disappearing. Some people call it knowledge evaporation. It’s the disconnecting and reconnecting of neurons in your biological neural network. Old knowledge is gone and new knowledge is formed. It’s called neuroplasticity. It’s the ability of neurons to disconnect, connect elsewhere, etc. based on what you are thinking/reading/writing/listening/doing.

Minimize complexity by starting from the big picture (i.e. a theory that explains a phenomenon). Then, proceed and do problem solving with a top-down decomposition into subproblems. Focus only on key information for the purpose of each subproblem and skip other details. Solve separate subproblems separately.