How to learn Computational Neuroscience on your Own (a self-study guide)

Hi👋, today I want to give you a program with which you can start to study computational neuroscience by yourself. I listed all the resources below. Hope you enjoy ❤️

00:00 - Intro
01:00 - 3 skills for computational neuroscience
01:11 - Programming resources
04:00 - Machine learning
05:01 - Bash code
06:00 - Mathematics resources
08:02 - Physics resources
09:46 - Neuroscience resources

👩‍💻Programming:
100 days of code: https://www.udemy.com/course/100-days-of-code/

Machine Learning:
- Christopher Bishop - Pattern recognition and machine learning https://geni.us/ArpR8g2
- Information Theory, Inference, and Learning Algorithms
David J.C. MacKay - https://geni.us/vyqyKo
- https://www.coursera.org/learn/machine-learning/home/welcome

➕Math:
- Introduction to Linear Algebra - gilber strang - https://math.mit.edu/~gs/
- 3blue1brown: Vectors | Chapter 1, Essence of linear algebra

📈Data science and statistics:
- Fundamentals of Statistics https://learning.edx.org/course/course-v1:MITx+18.6501x+1T2022/home
- Probability - The Science of Uncertainty and Data https://learning.edx.org/course/course-v1:MITx+6.431x+1T2022/home
- Naked Statistics: Stripping the Dread from the Data -https://geni.us/H0I61P

👩‍⚕️Physics:
Introduction to Electrodynamics - David J. Griffiths - https://geni.us/03Aaz
An atomic Boltzmann machine capable of self-adaption - https://www-nature-com.ru.idm.oclc.org/articles/s41565-020-00838-4
Lecture by bert van kappen: https://www.youtube.com/watch?v=t3IYgvq5jNQ

🧠Neuroscience:
Nature Reviews Neuroscience and Nature Neuroscience:
- Deep learning in alternate reality
- Neurons as will and representation

Elife - open science journal:
- Charting brain growth and aging at high spatial precision

Frontiers in neuroscience:
- End-to-End Deep Image Reconstruction From Human Brain Activity

🎵 Music: Epidemic Sound - https://share.epidemicsound.com/ndkqqq
🐦 Twitter: https://twitter.com/CFraza