Can I get into computational neuroscience from EE?

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Transitioning from electrical engineering (EE) to computational neuroscience is viable, with many individuals successfully making this shift. While pursuing a master's degree, opting for one in computational neuroscience is generally recommended over a traditional neuroscience program, especially for those focused on the scientific aspects of brain function rather than engineering applications. Signal processing plays a crucial role in computational neuroscience, as it is used to model brain processes and analyze noisy neural data. The brain can be viewed as a system that processes environmental signals to create perceptions and actions, which aligns well with signal processing techniques. For those seeking graduate programs in computational neuroscience, particularly at middle-tier institutions, it is essential to identify advisors or research groups that align with specific interests. Theoretical and mathematical neuroscience are alternative terms that may aid in finding suitable programs. Many middle-tier schools may not have dedicated programs but could offer opportunities within EE departments focusing on neuroscience research.
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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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