Hello great computational neuroscience professors, experts, and students.
I’m a former software engineer (with a great background in programming), and currently I’m an undergrad math student.
I’m super interested in computational neuroscience. I’m kind of hopeful to do some undergrad research(s), so those allow me to apply directly for a PhD later once I’m done with bachelor (in 2.5 years).
Specifically I’m very interested in mathematical modeling, like how does brain store data, and how data is proceed. Simulating, and modeling algorithms. I’d like to study it in more math way, rather neuroscience.
The following list includes courses I’ve passed or currently studying:
- Lots of programming and sw-eng stuff
- Linear Algebra I and II
- Math analysis I and II
- Calculus I and II (multivariable)
- Numerical Analysis I
- Algebra I
- Linear Optimization I
And I’m going to take these courses as well(essentials)
- Algebra II
- Advanced Calculus
- Complex Analysis
- ODE
- Combinatorics
- Physics I and II
- General Topology
- Elementary Number Theory
- Probability I
Regarding electives courses, I’m thinking to take these(but I cannot take all of them), but maybe 6, 7 or max 8
- Statistical Methods
- Stochastic Processes I
- Time Series I
- Functional Analysis
- Real Analysis I
- Non-Linear Optimization
- Elementary Dynamical Systems
- Advanced Dynamical Systems
- Elementary Biology
- Information Theory
- Ergodic Theory
Regarding neuroscience side, it seems I have to study it by my own, or attend classes as a guess(if I’m lucky to be allowed), and I’m asking what book/courses do you recommend me regarding the neuroscience side? Where do I start?
Also I’d like to have your idea regarding my elective course choices. Is there any specific math-related course do you recommend me to take? I’m able to take 2-3 graduate level courses as well.
Really appreciate your time and consideration.
Math and science bless us all. 
