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How to Self Study Coding for Computational Neuroscience

Charlotte Fraza 42,275 3 years ago
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🧠 Keep exploring at https://brilliant.org/CharlotteFraza/ . Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription. Check out my newly launched website → https://www.charfraza.com/ 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 - https://imp.i384100.net/WD5b0e 100 days of code - https://www.udemy.com/course/100-days-of-code/ Machine learning course - https://imp.i384100.net/9W64oe 📚Resources: Github - https://docs.github.com/en/get-started/quickstart/create-a-repo Command line - https://www.codecademy.com/learn/learn-the-command-line Jupyter notebook - https://jupyter.org/try-jupyter/retro/notebooks/?path=notebooks/Intro.ipynb Other videos used: - [https://www.youtube.com/watch?v=ic9yNyAu310] - [https://www.youtube.com/watch?v=3JQ3hYko51Y] 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: [10.1101/2019.12.13.875534] 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 - https://share.epidemicsound.com/ndkqqq Noise cancelling headphones: Bose QuietComfort 35 II - https://geni.us/YQzq Sony WH-1000XM4 - https://geni.us/60vGhb *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: https://www.charfraza.com/ 🐦 Twitter: https://twitter.com/CFraza 📧 For brands/collaborations: [email protected] I try to answer all the comments, but if I don't respond I'm probably in my coding cave 👩‍💻 Sub count: 📈 37,000

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