Self-study computational neuroscience | Coding, Textbooks, Math
Shortform link:
https://shortform.com/artem
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My name is Artem, I'm a neuroscience PhD student at Harvard University.
🌎 Website and Social links: https://kirsanov.ai/
📥 "Receptive Field" neuro-newsletter: https://artemkirsanov.substack.com/
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This video is based on the article / how-to-get-started-in-computational-neuros...
In this video I share my experience on getting started with computational neuroscience. We will talk about programming languages, learning to code, recommended textbooks and finding project ideas to practice with.
Related video links:
Discovering research papers: • A tool to discover research papers - Resea...
How to read papers effectively: • How to read papers effectively | Research ...
Direct practice: • How to Effectively Teach Yourself ANYTHING
🕒 OUTLINE:
0:00 Introduction
0:46 What is computational neuroscience
4:24 Necessary skills
5:42 Choosing programming language
6:50 Algorithmic thinking
8:36 Ways to practice coding
9:43 General neuroscience books
11:08 Computational neuroscience books
13:00 Mathematics resources & pitfalls
15:40 Looking of project ideas
18:59 Finding data to practice with
19:29 Final advise
📚 FURTHER READING & REFERENCES:
Coding platform: https://codeforces.com
Textbooks:
https://www.amazon.com/Neuroscience-E...
https://www.amazon.com/Principles-Neu...
https://www.amazon.com/Brain-Inside-O...
https://www.amazon.com/Theoretical-Ne...
https://www.amazon.com/Dynamical-Syst...
Neuroscience textbook with python exercises: https://neuronaldynamics.epfl.ch/
Linear algebra:
• Gilbert Strang lectures on Linear Algebra ...
• Essence of linear algebra
Open datasets:
https://openneuro.org/datasets
https://neuromorpho.org/
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Special thanks to Crimson Ghoul for providing English subtitles!
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B-roll footage by https://www.pexels.com/
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Disclaimer: This channel is my personal project. The views and content expressed here are my own and are separate from my research role at Harvard University.
#computationalneuroscience #neuroscience #coding
Description remastered: February 2026. Links & Bio updated; original context preserved.