How to Self Study Coding for Computational Neuroscience
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Hi👋, today I want to give you a roadmap with which you can use to start to study coding for computational neuroscience by yourself. I listed all the resources below. Hope you enjoy ❤️
00:00 - Intro
02:10 - Step 1: Learn the basics first and fast
06:53 - Step 2: Pick a topic
12:06 - Step 3: Find a project
16:00 - Step 4: Update your knowledge
👩🏫Courses I love:
Python specialisation -
100 days of code -
Machine learning course -
📚Resources:
Github -
Command line -
Jupyter notebook -
Other videos used:
- [
- [
Papers:
Machine learning
- Cichy, R. M., Khosla, A., Pantazis, D., Torralba, A., and Oliva, A. (2016). Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence. Scientific reports 6(1): 1-13.
Dynamical systems:
- Lindsay, G. W., Rubin, D. B., and Miller, K. D. (2019). A simple circuit model of visual cortex explains neural and behavioral aspects of attention. bioRxiv 875534. doi: []
Reinforcement learning:
Wang, J. X., Kurth-Nelson, Z., Kumaran, D., Tirumala, D., Soyer, H., Leibo, J. Z., … and Botvinick, M. (2018). Prefrontal cortex as a meta-reinforcement learning system. Nature neuroscience 21(6)
🎵 Copyright free music: Epidemic Sound -
Noise cancelling headphones:
Bose QuietComfort 35 II -
Sony WH-1000XM4 -
*Some of the links are affiliate links, which help me buy some extra coffee throughout the week ☕️
🙋♀️ Hi, my name is Charlotte Fraza a second year PhD student in Computational Neuroscience at the Donders institute in the Netherlands. With this Channel I hope to teach the world about Computational Neuroscience and give current and prospective students the tools to enter this field. I hope you enjoy the videos ❤️.
💃 Connect with me
👩💻 Website:
🐦 Twitter:
📧 For brands/collaborations: charfraza@
I try to answer all the comments, but if I don’t respond I’m probably in my coding cave 👩💻
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