Computational neurosciences: what to expect contentwise?

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SUMMARY

The discussion centers on a new Master's program in Computational Neurosciences at EPFL, which integrates courses from previously offered minors in neuroprosthetics and computational neuroscience. The program is structured into three categories: Technology, focusing on motor function analysis; Data Science and Machine Learning, emphasizing signal processing and statistics; and Imaging, which includes topics like tomography and computer vision. Participants express enthusiasm for the program's interdisciplinary approach and seek feedback from those with academic experience in the field.

PREREQUISITES
  • Understanding of signal processing techniques
  • Familiarity with machine learning algorithms
  • Knowledge of circuit modeling and analysis
  • Basic principles of biology related to neuroscience
NEXT STEPS
  • Research the Neuro-X Master's program at EPFL for detailed course offerings
  • Explore advanced signal processing methods in neuroscience applications
  • Study machine learning techniques specifically tailored for biological data analysis
  • Investigate imaging technologies used in neuroscience, such as MRI and CT
USEFUL FOR

Students considering a career in computational neurosciences, electrical engineers looking to pivot into interdisciplinary fields, and professionals interested in the integration of technology and biology.

fatpotato
Hello,

I was going back to university for Grad school (Master's degree) this fall in Electrical Engineering, but since my application and admission, the uni created a brand new program in computational neurosciences, and I am heavily considering to follow this path instead. Thrilling!

However, I am not really familiar with the field. I have read the syllabus and have been memserized by course descriptions. From what I read, I imagine this field as the perfect mix of signal processing, circuit modelling and analysis, machine learning, stochastics and of course, biology.

Is this correct? Am I idealizing? I fear being too optimistic, and would love to hear about your experience if you have an academic background in comp. neuro. Please share!

Thank you
 
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Hello,

I can post the list of courses and program structure, which should be found in attachment. Otherwise, follow this link: Neuro-X Master at EPFL

This is a new program which aims to merge a lot of courses previously proposed as electives or as a minor. I suppose that there is a need for this type of engineers, for I have seen a few other universities offering this kind of studies these last few years.

Courses are distributed among three categories :
  1. Technology: most of the content here was included in the former "neuroprosthetics" minor. This category focuses on designing interfaces for the body and analysing motor functions of the nervous system.
  2. Data science and ML: most the content here was included in the former "computational neuroscience" minor, with a focus on machine learning, signal processing and statistics.
  3. Imaging: covering all subfields: from tomography and optics to image processing and computer vision.
Courses in the last category is organised a bit like a medical symposium, where "hot" topics and papers are discussed and analysed, and can lead to a publication from the students.

For people who studied computational neurosciences: how does this differ from the syllabus you followed? Does this syllabus look good to you?
 

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