Careers in BCI technology (Brain-Computer Interfaces)

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Discussion Overview

The discussion revolves around career paths in Brain-Computer Interface (BCI) technology, focusing on the necessary scientific and mathematical knowledge for pursuing interests in bioelectronics and neural engineering. Participants explore educational options, relevant fields of study, and potential contributions to the field.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Ryan expresses a strong interest in bioelectronics and BCI technology, particularly in developing communication systems that could enable human telepathy.
  • Some participants suggest transferring to Systems Design Engineering at the University of Waterloo, highlighting its interdisciplinary approach that aligns with Ryan's interests.
  • One participant recommends contacting researchers in the field for guidance and suggests studying neurobiology, signal processing, and control theory as foundational knowledge.
  • Another participant notes the importance of both electrical engineering and software development in BCI technology, emphasizing the need for skills in data analysis and algorithm development.
  • There is mention of various fields contributing to BCI, including nanotechnology, mechanical engineering, biomedical engineering, and robotics.
  • Ryan expresses a desire to learn extensively about the human body/mind, electromagnetism, software, and mathematics over the next decade.

Areas of Agreement / Disagreement

Participants generally agree on the importance of a multidisciplinary approach to BCI technology, but there are varying opinions on the specific educational paths and areas of focus that Ryan should pursue. The discussion remains open-ended without a consensus on the best course of action.

Contextual Notes

Participants highlight a range of subjects that may be relevant to BCI technology, but there is no definitive agreement on which areas are most critical for Ryan's career path. The discussion reflects a variety of perspectives on the intersection of engineering, neuroscience, and technology.

Who May Find This Useful

Individuals interested in pursuing careers in bioelectronics, neural engineering, or related fields may find this discussion beneficial, particularly those considering interdisciplinary educational paths.

KingKai
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I just withdrew from my civil engineering program at my school and am using this time off to select a career path more suited to my personal interests.

I have finished 1 year of university civil engineering, I am twenty (20) years old.

Here's what I know:


Differential and Integrable Calculus of the single Variable
Linear Algebra (Matrix Manipulation and Vector Spaces)
Physics (Classical Mechanics - 1st year University Level, Force, Momentum, Energy, Kinematics)
Chemistry (Atomic, Molecular, Stoichiometry, Electrochemistry, Solutions, Gases, Redox, Organic)
Biology (Biochemistry, Mendel Genetic Theory, Cellular Anatomy, Macroscopic Anatomy, Basic Neurochemistry)


What I do not know much of:

Multivariable Calculus
Abstract Algebra
Set Theory
Graph Theory
Differential Equations
Quantum Mechanics
Relativity (Don't see how it applies but whatever lol)
Electrical Engineering (Circuits, Electromagnetism, etc.)
Computer Science (I am very ignorant in this subject)
Software Engineering and Programming (I know MATlab and HTML code lol)
Fluid Mechanics
Thermodynamics
Complex & Real Analysis
Chaos Theory
Economics
Advanced Neurology
Quantum Electrodynamics (whew that's a mouthful)
Cybernetics

100s of other subjects that I will not post here to conserve space



I am very interested in bioelectronics, particularly involving the central nervous system. I love stuff like this

http://www.wired.co.uk/news/archive/2013-05/31/darpa-touch-sensitive-prosthetic

^ Mind controlled bionic limb.

I would love to study how to create human telepathy systems via bioelectronics (sounds like science fiction, but I am willing to invest my life's work into developing a communication system such as this.



Thanks for reading!


- Ryan
University of Waterloo Engineering
 
Physics news on Phys.org
My main question is: what areas of scientific/mathematical knowledge should I invest my time into most?
 
Hi Ryan. From your signature below I notice that you are a student at the University of Waterloo who just finished one year of civil engineering. If your interests is in the areas you described (which sounds like an interface between electrical engineering and biomedical engineering), my suggestion would be for you to transfer into the Systems Design Engineering program.

https://uwaterloo.ca/systems-design-engineering/

(for those not familiar, Systems Design Engineering is a unique interdisciplinary engineering program offered at the University of Waterloo which emphasizes principles of design and systems theory -- somewhat similar to the engineering science/physics programs offered elsewhere, although there isn't necessarily a focus on physics).

From what I understand, in that program you have options in pursuing courses and projects in human systems engineering which cover at least some of your interests. Furthermore, you will have a broad-based education which should allow you flexibility in case your interests change again.

[Disclaimer: Even though I'm not Waterloo alumni, several of my friends were graduates of this program and they have all done very well in a variety of careers.]
 
That looks great! I think it's a different approach from a BCI, since the interface is peripheral. I'd try to contact the researchers for advice. They may respond to a courteous and to-the-point email. Some of the work seems to be associated with UNB .

For basic neurobiology Thomas Weiss's biophysics text is an excellent introduction. Signal processing and control theory (eg. Kalman filtering and its descendents) are also probably important. Oppenheim and Willsky for signals and systems is a bit hard to read, but it's a standard text. Dan Simon has a quite friendly book on Kalman filtering. From the basic science point of view it doesn't hurt to know electromagnetism at the level of Dugdale or Haus and Melcher.

I'm not sure whether the researchers of the present technology would consider these related, but you may wish to look at older interfaces which have been clinically successful such as the bladder prostheses. I believe Medtronics and Finetech make such devices.
 
Last edited by a moderator:
I do research in neural imaging and integrated readout for electrophysiology. As you can imagine these are BIG areas and there is room for a lot of contribution from a lot of different areas. Besides neuroscience, there is a lot of work for EEs both on the signal processing side (atyy is quite right that Kalman filtering is widely used) and on the hardware side (where I work).

If you aren't interested in that, there is a TON of work too for nanotechnology (basically an offshoot hybrid of condensed matter physics and physical chemistry), mechanical engineering, biomedical engineering, and robotics.

Lastly, probably the biggest contributions are on the software side. These systems work with a lot of data that needs to be analyzed quickly. We do a lot of collaboration with research groups that work on algorithms for things such as fast approximate solutions to systems of differential equations, stuff like that.

My point is there are a LOT of areas where you can get involved and contribute. Probably the easiest way to get into it is through Engineering. This stuff isn't big commercially yet, so most of the work is done at Universities or big research centers like HHMI (Howard Hughes Medical Institute).
 
Thanks for the input guys, I have much to learn and want to spend my 20s learning as much as I can about the human body/mind, electromagnetism, software, computer science, mathematics, and social sciences. Total of about 3400 days until I turn age 30. I must use these days as productively as possible.

My plan is that by age 30 my ideas about this BCI stuff (which run through my head nonstop) will transition from the imaginary world to the world we live in today, clearing the fog of ignorance and showing our species the true path to enlightenment.

I invite you all to share this journey with me, for this is not only for the betterment of myself, but the betterment of the human race.
 

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