Knowing more about the discipline of mathematical neuroscience

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Discussion Overview

The discussion revolves around the exploration of mathematical neuroscience as a field of study, including the curriculum, career paths, and the relationship between neuroscience and other disciplines such as physics and computer science. Participants express their interests and uncertainties regarding the direction of their studies and potential research topics within neuroscience.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant expresses difficulty in finding curriculum information for mathematical neuroscience and questions whether to pursue theoretical neuroscience or theoretical physics.
  • Another participant suggests that a background in biology or medicine may be more traditional for entering neuroscience, while mathematical modeling skills could be beneficial.
  • Some participants discuss the importance of deciding between a focus on neurons or the brain, indicating that this could influence their educational path.
  • Concerns are raised about the long working hours typically associated with neuroscience, which may follow a medical model.
  • Participants explore the idea of combining computer science with neuroscience, particularly in areas like neural networks and artificial intelligence.
  • Questions are posed about the nature of research interests, such as curiosity, learning, and consciousness, and whether these interests are aligned with practical neuroscience work.
  • One participant shares an example of a mathematical neuroscientist and suggests looking into academic programs associated with relevant journals.
  • There is a mention of the flexibility within academic departments, as illustrated by the example of a physicist working in neuroscience.
  • Concerns about the participant's current educational background are expressed, noting a lack of advanced coursework in relevant subjects.

Areas of Agreement / Disagreement

Participants express various viewpoints regarding the best path to take in pursuing mathematical neuroscience, with no clear consensus on the most suitable educational background or career trajectory. There are competing views on the relevance of physics versus biology and the importance of lab work versus theoretical modeling.

Contextual Notes

Participants acknowledge limitations in their understanding of mathematical neuroscience and express uncertainty about the applicability of their interests to the field. There are references to the need for further education and exploration of specific research topics.

Who May Find This Useful

Individuals interested in the intersection of mathematics, neuroscience, and theoretical modeling, as well as those considering a career in neuroscience or related fields.

  • #31
Pythagorean said:
The computer's just a tool like a calculator. You should write the models on paper, derive them mathematically, then (naturally) you're not going to want to solve the mathematics for 10000 neurons by hand so you use a numerical ODE solver or you write a snippet to compute the probabilities. Then you have to represent the data somehow (you don't just publish a bunch of numbers in a paper, you publish graphical representation) so you might as well have your code do that for you too (you're more then welcome to open up excel and do it all manuallly with your data, but it's the long route).

So while computer science is not at all the emphasis, any modern scientists (whether data mining, classifying behavior, integrating statistics, or simulating time-evolved equations) has everything to gain from knowing how to do some basic programming.

There's possibly more general, theoretical mathematics you can do, but I'd think most of them still rely on mining numerical data sets in the end... you're pretty much always going to be slower than the guy who has the same scientific knoweldge as you, but more programming skills.
ribozyme :)

That makes computational neuroscience more interesting to me. So what percentage of a computational neuroscientist's time would be used in writing down a program? If the time is little relative to other work they do then it would likely suit me.

I searched up on ribozyme real quick and that was very interesting actually, thank you.
 
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  • #32
Hey dude, this is for you: http://biomath.rutgers.edu/

Check it out. If you are interested in biology related areas and physics double major. That is what I intend on doing most likely. Doing a Physics and Biomathematics double major at Rutgers. As far as your interests go, check out the curriculum for Biomaths. There are some Neuro classes in the electives, there is also a class offered by the Biomedical Engineering Dept on sensory processes focusing on the analyzation of the auditory and visual modalities. There are courses on the use of computers in biology etc etc. As far as an undergrad preperation for some type of Mathematics/Biology overlap goes I would think that the Biomaths/Physics combo would be quite good.
 
  • #33
Also if you're interested go to the Aresty Research center website and check out all of the REU's they have listed and you can further see the type of stuff that you can work on.
 

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