Information processing in the brain

AI Thread Summary
The discussion centers on the desire to study how information is processed in the brain, with a focus on interdisciplinary fields such as neuroscience, applied mathematics, bioinformatics, computational biology, and biomedical engineering. The individual is seeking guidance on the best educational path, particularly for universities in Quebec and Ontario, and expresses a strong interest in mathematics. There is an acknowledgment of the likely need for graduate studies in the chosen field. Additionally, a suggestion is made that pursuing a degree in theoretical computer science could be beneficial, as it covers computation and data representation, which are relevant for neuroinformatics. The inquiry also includes a question about the availability of a neuroscience program at the University of Toronto's St. George Campus.
jey1234
Messages
38
Reaction score
0
I've always wanted to study something that has to do with how information is processed in the brain. I don't know if this sounds silly but almost like "reading" the brain. Perhaps like data/mathematical modelling? I don't really know what educational path I must choose. I am thinking that the choices consist of neuroscience, applied math, bioinformatics, computational biology, biomedical engineering. I will be applying to universities in Quebec & Ontario. There are just so many programs that I don't which will be the best interdisciplinary approach. Also note that I love math, probably more than any other course that I can think of. I understand that I'll most likely have to do graduate studies too.

P.S. Dos UofT have a neuroscience program at the St. George Campus?

Any help will be appreciated. Thanks
 
Physics news on Phys.org
(Theoretical) Computer Science would be a good option. Here you learn about computation and data representation, which provides a good background for graduate level neuroinformatics.
 
I’ve been looking through the curricula of several European theoretical/mathematical physics MSc programs (ETH, Oxford, Cambridge, LMU, ENS Paris, etc), and I’m struck by how little emphasis they place on advanced fundamental courses. Nearly everything seems to be research-adjacent: string theory, quantum field theory, quantum optics, cosmology, soft matter physics, black hole radiation, etc. What I don’t see are the kinds of “second-pass fundamentals” I was hoping for, things like...
TL;DR Summary: I want to do a PhD in applied math but I hate group theory, is this a big problem? Hello, I am a second-year math and physics double major with a minor in data science. I just finished group theory (today actually), and it was my least favorite class in all of university so far. It doesn't interest me, and I am also very bad at it compared to other math courses I have done. The other courses I have done are calculus I-III, ODEs, Linear Algebra, and Prob/Stats. Is it a...
Back
Top