Can I get into computational neuroscience from EE?

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SUMMARY

Transitioning from electrical engineering (EE) to computational neuroscience is viable, with many individuals successfully making this shift. It is advisable to pursue a master's degree in computational neuroscience rather than a traditional neuroscience program, as this aligns more closely with the applicant's interests. Signal processing plays a crucial role in computational neuroscience, particularly in modeling brain functions and analyzing noisy data from the nervous system. Prospective students should explore middle-tier universities with strong EE departments that focus on theoretical and mathematical neuroscience.

PREREQUISITES
  • Understanding of signal processing principles and techniques
  • Familiarity with computational neuroscience concepts
  • Knowledge of theoretical and mathematical neuroscience
  • Research skills to identify relevant academic programs and advisors
NEXT STEPS
  • Research master's programs in computational neuroscience at middle-tier universities
  • Explore signal processing applications in neuroscience
  • Investigate theoretical and mathematical neuroscience literature
  • Identify and connect with advisors or research groups in EE departments focusing on neuroscience
USEFUL FOR

This discussion is beneficial for electrical engineering graduates, aspiring computational neuroscientists, and anyone interested in the intersection of signal processing and neuroscience research.

PNGeng
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I am finishing my BS this semester in electrical engineering with an emphasis in signal processing and I want to eventually become a researcher in computational neuroscience. Is this transition viable?

Since I ultimately want a Ph.D in neuroscience should I get my masters in neuroscience or can I get a masters in EE and switch afterwards?

Is signal processing used in computational neuroscience? If so, what is it used for? I suppose it is because I've seen several books on signal processing for neuroscientists but I'm not exactly sure how they use it.

Also, I am only interested in the science of brains, not engineering technology to interface with the brain.
 
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The short answers are:

1. Yes, you can go into computational neuroscience from EE, and many people do.

2. You could potentially go either route, but I would probably recommend a master's in comp. neuro. rather than straight neuroscience.

3. You can think of the brain as a system that takes signals from the environment and processes them to generate perceptions and actions. You can use signal processing to model this process. Neuroscients also need signal processing to analyse noisy data from the nervous system.
 
Yes, many neural models can be conceived as an electrical circuit model with nonlinear elements and I come across papers here and there by EE departments when I do background literature.

I've seen circuit construction too, where they constructed a circuit that reproduces the behavior of a Morris Lecar neuron.
 
I am having a tough time finding comp-neuro graduate programs that do not require a lot of biology/chemistry.

Can anyone recommend colleges for comp-neuro? Not JHU/Berkeley/Columbia type schools either, I'm looking for middle tier schools.
 
I keep hearing the transition is possible and is done frequently but I can't find any programs. What gives?
 
Mostly only top tier schools can afford to invest in something like comp neuro. For middle tier, You may have to find the appropriate advisor or research group doing the research you want. It could end up being in an EE department with a focus in neuro. Theoretical neuroscience and mathematical neuroscience are other names for the field that may help you search. Look for papers published out of EE departments and consider those departments.
 

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